Functional Encryption (FE) has been widely studied in the last decade, as it provides a very useful tool for restricted access to sensitive data: from a ciphertext, it allows specific users to learn a function of the underlying plaintext. In practice, many users may be interested in the same function on the data, say the mean value of the inputs, for example. The conventional definition of FE associates each function to a secret decryption functional key and therefore all the users get the same secret key for the same function. This induces an important problem: if one of these users (called a traitor) leaks or sells the decryption functional key to be included in a pirate decryption tool, then there is no way to trace back its identity. Our objective is to solve this issue by introducing a new primitive, called Traceable Functional Encryption: the functional decryption key will not only be specific to a function, but to a user too, in such a way that if some users collude to produce a pirate decoder that successfully evaluates a function on the plaintext, from the ciphertext only, one can trace back at least one of them. We propose a concrete solution for Inner Product Functional Encryption (IPFE). We first remark that the ElGamal-based IPFE from Abdalla et. al. in PKC '15 shares many similarities with the Boneh-Franklin traitor tracing from CRYPTO '99. Then, we can combine these two schemes in a very efficient way, with the help of pairings, to obtain a Traceable IPFE with black-box confirmation.

Recently, Cramer et al. (CRYPTO 2018) presented a protocol, SPDZ2k, for actively secure multiparty computation for dishonest majority in the pre-processing model over the ring $Z_{2^k}$, instead of over a prime field $F_p$. Their technique used oblivious transfer for the pre-processing phase, more specifically the MASCOT protocol (Keller et al. CCS 2016). In this paper we describe a more efficient technique for secure multiparty computation over $Z_{2^k}$ based on somewhat homomorphic encryption. In particular we adapt the Overdrive approach (Keller et al. EUROCRYPT 2018) to obtain a protocol which is more like the original SPDZ protocol (Damgård et al. CRYPTO 2012). To accomplish this we introduce a special packing technique for the BGV encryption scheme operating on the plaintext space defined by the SPDZ2k protocol, extending the ciphertext packing method used in SPDZ to the case of $Z_{2^k}$. We also present a more complete pre-processing phase for secure computation modulo $2^k$ by adding a new technique to produce shared random bits. These are needed in a number of online protocols and are quite expensive to generate using the MASCOT-based method given in the original SPDZ2k paper. Our approach can be applied to the High-Gear variant of Overdrive, leading to a protocol whose overall efficiency is up to three times better than the OT-based methodology.

With the proliferation of data and emerging data-driven applications, how to perform data analytical operations while respecting privacy concerns has become a very interesting research topic. With the advancement of communication and computing technologies, e.g. the FoG computing concept and its associated Edge computing technologies, it is now appealing to deploy decentralized data-driven applications. Following this trend, in this paper, we investigate privacy-preserving singular value decomposition (SVD) solutions tailored for these new computing environments. We first analyse a privacy-preserving SVD solution by Chen et al., which is based on the Paillier encryption scheme and some heuristic randomization method. We show that (1) their solution leaks statistical information to an individual player in the system; (2) their solution leaks much more information when more than one players collude. Based on the analysis, we present a new solution, which distributes the SVD results into two different players in a privacy-preserving manner. In comparison, our solution minimizes the information leakage to both individual player and colluded ones, via randomization and threshold homomorphic encryption techniques.

We construct new protocols for two parties to securely compute on the items in their intersection. Our protocols make use of an untrusted third party that has no input. The use of this party allows us to construct highly efficient protocols that are secure against a single malicious corruption.

Blockchain data structures maintained via the longest-chain rule have emerged as a powerful algorithmic tool for consensus algorithms. The technique---popularized by the Bitcoin protocol---has proven to be remarkably flexible and now supports consensus algorithms in a wide variety of settings. Despite such broad applicability and adoption, current analytic understanding of the technique is highly dependent on details of the protocol's leader election scheme. A particular challenge appears in the proof-of-stake setting, where existing analyses suffer from quadratic dependence on suffix length. We describe an axiomatic theory of blockchain dynamics that permits rigorous reasoning about the longest-chain rule in quite general circumstances and establish bounds---optimal to within a constant---on the probability of a consistency violation. This settles a critical open question in the proof-of-stake setting where we achieve linear consistency for the first time. Operationally, blockchain consensus protocols achieve consistency by instructing parties to remove a suffix of a certain length from their local blockchain. While the analysis of Bitcoin guarantees consistency with error $2^{-k}$ by removing $O(k)$ blocks, recent work on proof-of-stake (PoS) blockchains has suffered from quadratic dependence: (PoS) blockchain protocols, exemplified by Ouroboros (Crypto 2017), Ouroboros Praos (Eurocrypt 2018) and Sleepy Consensus (Asiacrypt 2017), can only establish that the length of this suffix should be $\Theta(k^2)$. This consistency guarantee is a fundamental design parameter for these systems, as the length of the suffix is a lower bound for the time required to wait for transactions to settle. Whether this gap is an intrinsic limitation of PoS---due to issues such as the ``nothing-at-stake'' problem---has been an urgent open question as deployed PoS blockchains further rely on consistency for protocol correctness: in particular, security of the protocol itself relies on this parameter. Our general theory directly improves the required suffix length from $\Theta(k^2)$ to $\Theta(k)$. Thus we show, for the first time, how PoS protocols can match proof-of-work blockchain protocols for exponentially decreasing consistency error. Our analysis focuses on the articulation of a two-dimensional stochastic process that captures the features of interest, an exact recursive closed form for the critical functional of the process, and tail bounds established for associated generating functions that dominate the failure events. Finally, the analysis provides an explicit polynomial-time algorithm for exactly computing the exponentially-decaying error function which can directly inform practice.

Card-based cryptography provides simple and practicable protocols for performing secure multi-party computation (MPC) with just a deck of cards. For the sake of simplicity, this is often done using cards with only two symbols, e.g., clubs and hearts. Within this paper, we target the setting where all cards carry distinct symbols, catering for use-cases with commonly available standard decks and a weaker indistinguishability assumption. As of yet, the literature provides for only three protocols and no proofs for non-trivial lower bounds on the number of cards. As such complex proofs (handling very large combinatorial state spaces) tend to be involved and error-prone, we propose using formal verification for finding protocols and proving lower bounds. In this paper, we employ the technique of software bounded model checking (SBMC), which reduces the problem to a bounded state space, which is automatically searched exhaustively using a SAT solver as a backend. Our contribution is twofold: (a) We identify two protocols for converting between different bit encodings with overlapping bases, and then show them to be card-minimal. This completes the picture of tight lower bounds on the number of cards with respect to runtime behavior and shuffle properties of conversion protocols. For computing AND, we show that there is no protocol with finite runtime using four cards with distinguishable symbols and fixed output encoding, and give a four-card protocol with an expected finite runtime using only random cuts. (b) We provide a general translation of proofs for lower bounds to a bounded model checking framework for automatically finding card- and length-minimal protocols and to give additional confidence in lower bounds. We apply this to validate our method and, as an example, confirm our new AND protocol to have a shortest run for protocols using this number of cards.

In a recent work, Katz et al. (CANS'17) generalized the notion of Broadcast Encryption to define Subset Predicate Encryption (SPE) that emulates \emph{subset containment} predicate in the encrypted domain. They proposed two selective secure constructions of SPE in the small universe settings. Their first construction is based on $q$-type assumption while the second one is based on DBDH. % which can be converted to large universe using random oracle. Both achieve constant size secret key while the ciphertext size depends on the size of the privileged set. They also showed some black-box transformation of SPE to well-known primitives like WIBE and ABE to establish the richness of the SPE structure. This work investigates the question of large universe realization of SPE scheme based on static assumption without random oracle. We propose two constructions both of which achieve constant size secret key. First construction $\mathsf{SPE}_1$, instantiated in composite order bilinear groups, achieves constant size ciphertext and is proven secure in a restricted version of selective security model under the subgroup decision assumption (SDP). Our main construction $\mathsf{SPE}_2$ is adaptive secure in the prime order bilinear group under the symmetric external Diffie-Hellman assumption (SXDH). Thus $\mathsf{SPE}_2$ is the first large universe instantiation of SPE to achieve adaptive security without random oracle. Both our constructions have efficient decryption function suggesting their practical applicability. Thus the primitives like WIBE and ABE resulting through black-box transformation of our constructions become more practical.

Zero-knowledge arguments have become practical, and widely used, especially in the world of Blockchain, for example in Zcash. This work revisits zero-knowledge proofs in the discrete logarithm setting. First, we identify and carve out basic techniques (partly being used implicitly before) to optimize proofs in this setting. In particular, the linear combination of protocols is a useful tool to obtain zero-knowledge and/or reduce communication. With these techniques, we are able to devise zero-knowledge variants of the logarithmic communication arguments by Bootle et al.\ (EUROCRYPT '16) and Bünz et al. (S\&P '18) thereby introducing almost no overhead. We then construct a conceptually simple commit-and-prove argument for satisfiability of a set of quadratic equations. Unlike previous work, we are not restricted to rank 1 constraint systems (R1CS). This is, to the best of our knowledge, the first work demonstrating that general quadratic constraints, not just R1CS, are a natural relation in the dlog (or ideal linear commitment) setting. This enables new possibilities for optimisation, as, eg., any degree $n^2$ polynomial $f(X)$ can now be ``evaluated'' with at most $2n$ quadratic constraints. Our protocols are modular. We easily construct an efficient, logarithmic size shuffle proof, which can be used in electronic voting. Additionally, we take a closer look at quantitative security measures, eg. the efficiency of an extractor. We formalise short-circuit extraction, which allows us to give tighter bounds on the efficiency of an extractor.

As data outsourcing becomes popular, oblivious algorithms have raised extensive attentions since their control flow and data access pattern appear to be independent of the input data they compute on and thus are especially suitable for secure processing in outsourced environments. In this work, we focus on oblivious shuffling algorithms that aim to shuffle encrypted data blocks outsourced to the cloud server without disclosing the permutation of blocks to the server. Existing oblivious shuffling algorithms suffer from issues of heavy communication and client computation costs when blocks have a large size because all outsourced blocks must be downloaded to the client for shuffling or peeling off extra encryption layers. To help eliminate this void, we introduce the ``repeatable oblivious shuffling'' notation that restricts the communication and client computation costs to be independent of the block size. We present an efficient construction of repeatable oblivious shuffling using additively homomorphic encryption schemes. The comprehensive evaluation of our construction shows its effective usability in practice for shuffling large-sized blocks.

Blockchain protocols for cryptocurrencies offer secure payment transactions, yet their throughput pales in comparison to centralized payment systems such as VISA. Moreover, transactions incur fees that relatively hinder the adoption of cryptocurrencies for simple daily payments. Micropayment channels are second layer protocols that allow efficient and nearly unlimited number of payments between parties at the cost of only two transactions, one to initiate it and the other one to close it. Typically, the de-facto approach for micropayment channels on Ethereum is to utilize digital signatures which incur a constant gas cost but still relatively high due to expensive elliptic curve operations. Recently, ElSheikh et al. have proposed a protocol that utilizes hash chain which scales linearly with the channel capacity and has a lower cost compared to the digital signature based channel up to a capacity of 1000 micropayments. In this paper, we improve even more and propose a protocol that scales logarithmically with the channel capacity. Furthermore, by utilizing a variant of Merkle tree, our protocol does not require the payer to lock the entire balance at the channel creation which is an intrinsic limitation with the current alternatives. To assess the efficiency of our protocol, we carried out a number of experiments, and the results prove a positive efficiency and an overall low cost. Finally, we release the source code for prototype on GitHub.

Searchable encryption can provide secure search over encrypted cloud-based data without infringing data confidentiality and data searcher privacy. In this work, we focus on a secure search service providing fine-grained and expressive search functionality, which can be seen as a general extension of searchable encryption and called attribute-based multi-keyword search (ABMKS). In most of the existing ABMKS schemes, the ciphertext size of keyword index (encrypted index) grows linearly with the number of the keyword associated with a file, so that the computation and communication complexity of keyword index is limited to O(m) , where m is the number of the keyword. To address this shortage, we propose the first ABMKS scheme through utilizing keyword dictionary tree and the subset cover, in such a way that the ciphertext size of keyword index is not dependent on the number of underlying keyword in a file. In our design, the complexity of computation and the complexity of the keyword index are at most O ( 2· log (n/2) ) for the worst case, but O(1) for the best case, where n is the number of keyword in a keyword dictionary. We also present the security and the performance analysis to demonstrate that our scheme is both secure and efficient in practice.

We consider the problem of amplifying two-party coin-tossing protocols: given a protocol where it is possible to bias the common output by at most $\rho$, we aim to obtain a new protocol where the output can be biased by at most $\rho^\star<\rho$. We rule out the existence of a natural type of amplifiers called oblivious amplifiers for every $\rho^\star<\rho$. Such amplifiers ignore the way that the underlying $\rho$-bias protocol works and can only invoke an oracle that provides $\rho$-bias bits. We provide two proofs of this impossibility. The first is by a reduction to the impossibility of deterministic randomness extraction from Santha-Vazirani sources. The second is a direct proof that is more general and also rules outs certain types of asymmetric amplification. In addition, it gives yet another proof for the Santha-Vazirani impossibility.

The RSA Probabilistic Signature Scheme (RSA-PSS) due to Bellare and Rogaway (EUROCRYPT 1996) is a widely deployed signature scheme. In particular it is a suggested replacement for the deterministic RSA Full Domain Hash (RSA-FDH) by Bellare and Rogaway (ACM CCS 1993) and PKCS#1 v1.5 (RFC 2313), as it can provide stronger security guarantees. It has since been shown by Kakvi and Kiltz (EUROCRYPT 2012, Journal of Cryptology 2018) that RSA-FDH provides similar security to that of RSA-PSS, also in the case when RSA-PSS is not randomized. Recently, Jager, Kakvi and May (ACM CCS 2018) showed that PKCS#1 v1.5 provides comparable security to both RSA-FDH and RSA-PSS. However, all these proofs consider each signature scheme in isolation, where in practice this is not the case. The most interesting case is that in TLS 1.3, PKCS#1 v1.5 signatures are still included for reasons of backwards compatibility, meaning both RSA-PSS and PKCS#1 v1.5 signatures are implemented. To save space, the key material is shared between the two schemes, which means the aforementioned security proofs no longer apply. We investigate the security of this joint usage of key material in the context of Sibling Signatures, which were introduced by Camenisch, Drijvers, and Dubovitskaya (ACM CCS 2017). It must be noted that we consider the standardised version of RSA-PSS (IEEE Standard P1363-2000), which deviates from the original scheme considered in all previous papers. We are able to show that this joint usage is indeed secure, and achieves a security level that closely matches that of PKCS#1 v1.5 signatures and that both schemes can be safely used, if the output lengths of the hash functions are chosen appropriately.

The “Internet of Things” (IoT) promises ubiquitous, cheap, connected devices. Unfortunately, most of these devices are hastily developed and will never receive code updates. Part of the IoT’s security problem is cryptographic, but established cryptographic solutions seem too heavy or too inflexible to adapt to new use cases. Here we describe Strobe, a new lightweight framework for building both cryptographic primitives and network protocols. Strobe is a sponge construction in the same family as Markku Saarinen’s BLINKER framework. The Strobe framework is simple and extensible. It is suitable for use as a hash, authenticated cipher, pseudorandom generator, and as the symmetric component of a network protocol engine. With an elliptic curve or other group primitive, it also provides a flexible Schnorr signature variant. Strobe can be instantiated with different sponge functions for different purposes. We show how to instantiate Strobe as an instance of NIST’s draft cSHAKE algorithm. We also show a lightweight implementation which is especially suitable for 16- and 32- bit microcontrollers, and also for small but high-speed hardware.

Electronic cash (e-cash) is the digital analogue of regular cash which aims at preserving users' privacy. Following Chaum's seminal work, several new features were proposed for e-cash to address the practical issues of the original primitive. Among them, divisibility has proved very useful to enable efficient storage and spendings. Unfortunately, it is also very difficult to achieve and, to date, quite a few constructions exist, all of them relying on complex mechanisms that can only be instantiated in one specific setting. In addition security models are incomplete and proofs sometimes hand-wavy. In this work, we first provide a complete security model for divisible e-cash, and we study the links with constrained pseudo-random functions (PRFs), a primitive recently formalized by Boneh and Waters. We exhibit two frameworks of divisible e-cash systems from constrained PRFs achieving some specific properties: either key homomorphism or delegability. We then formally prove these frameworks, and address two main issues in previous constructions: two essential security notions were either not considered at all or not fully proven. Indeed, we introduce the notion of clearing, which should guarantee that only the recipient of a transaction should be able to do the deposit, and we show the exculpability, that should prevent an honest user to be falsely accused, was wrong in most proofs of the previous constructions. Some can easily be repaired, but this is not the case for most complex settings such as constructions in the standard model. Consequently, we provide the first construction secure in the standard model, as a direct instantiation of our framework.

Private Function Evaluation (PFE) enables two parties to jointly execute a computation such that one of them provides the input while the other chooses the function to compute. According to the traditional security requirements, a PFE protocol should leak no more information, neither about the function nor the input, than what is revealed by the output of the computation. Existing PFE protocols inherently restrict the scope of computable functions to a certain function class with given output size, thus ruling out the direct evaluation of such problematic functions as the identity map, which would entirely undermine the input privacy requirement. We observe that when not only the input $x$ is confidential but certain partial information $g(x)$ of it as well, standard PFE fails to provide meaningful input privacy if $g$ and the function $f$ to be computed fall into the same function class. Our work investigates the question whether it is possible to achieve a reasonable level of input and function privacy simultaneously even in the above cases. We propose the notion of Controlled PFE (CPFE) with different flavours of security and answer the question affirmatively by showing simple, generic realizations of the new notions. Our main construction, based on functional encryption (FE), also enjoys strong reusability properties enabling, e.g. fast computation of the same function on different inputs. To demonstrate the applicability of our approach, we show a concrete instantiation of the FE-based protocol for inner product computation that enables secure statistical analysis (and more) under the standard Decisional Diffie--Hellman assumption.

Volume leakage has recently been identified as a major threat to the security of cryptographic cloud-based data structures by Kellaris et al. [CCS’16] (see also the attacks in Grubbs et al. [CCS’18] and Lacharité et al. [S&P’18]). In this work, we focus on volume-hiding implementations of encrypted multi-maps as first considered by Kamara and Moataz [Eurocrypt’19]. Encrypted multi-maps consist of outsourcing the storage of a multi-map to an untrusted server, such as a cloud storage system, while maintaining the ability to perform private queries. Volume-hiding encrypted multi-maps ensure that the number of responses (volume) for any query remains hidden from the adversarial server. As a result, volume-hiding schemes can prevent leakage attacks that leverage the adversary’s knowledge of the number of query responses to compromise privacy. We present both conceptual and algorithmic contributions towards volume-hiding encrypted multi-maps. We introduce the first formal definition of volume-hiding leakage functions. In terms of design, we present the first volume-hiding encrypted multi-map dprfMM whose storage and query complexity are both asymptotically optimal. Furthermore, we experimentally show that our construction is practically efficient. Our server storage is smaller than the best previous construction while we improve query complexity by a factor of 10-16x. In addition, we introduce the notion of differentially private volume-hiding leakage functions which strikes a better, tunable balance between privacy and efficiency. To accompany our new notion, we present a differentially private volume-hiding encrypted multi-map dpMM whose query complexity is the volume of the queried key plus an additional logarithmic factor. This is a significant improvement compared to all previous volume-hiding schemes whose query overhead was the maximum volume of any key. In natural settings, our construction improves the average query overhead by a factor of 150-240x over the previous best volume-hiding construction even when considering small privacy budget of $\epsilon = 0.2$.

An Oblivious PRF (OPRF) is a protocol between a server holding a key to a PRF and a user holding an input. At the end of the interaction, the user learns the output of the OPRF on its input and nothing else. The server learns nothing, including nothing about the user's input or the function's output. OPRFs have found many applications in multiple areas of cryptography. Everspaugh et al. (Usenix 2015) introduced Partially Oblivious PRF (pOPRF) in which the OPRF accepts an additional non-secret input that can be chosen by the server itself, and showed applications in the setting of password hardening protocols. We further investigate pOPRFs showing new constructions, including distributed multi-server schemes, and new applications. We build simple pOPRFs from regular OPRFs, in particular obtaining very efficient DH-based pOPRFs, and provide (n,t)-threshold implementation of such schemes. We apply these schemes to build Oblivious Key Management Systems (KMS) as a much more secure alternative to traditional wrapping-based KMS. The new system hides keys and object identifiers from the KMS, offers unconditional security for key transport, enables forward security, provides key verifiability, reduces storage, and more. Further, we show how to provide all these features in a distributed threshold implementation that additionally protects the service against server compromise. Finally, we extend the scheme to a threshold Oblivious KMS with updatable encryption so that upon the periodic change of OPRF keys by the server, an efficient update procedure allows a client of the KMS service to non-interactively update all its encrypted data to be decryptable only by the new key. Our techniques improve on the efficiency and security of several recent works on updatable encryption from Crypto and Eurocrypt. We report on an implementation of the above schemes and their performance, showing their practicality and readiness for use in real-world systems. In particular, our pOPRF constructions achieve speeds of over an order of magnitude relative to previous pOPRF schemes.

Privacy-preserving machine learning enables secure outsourcing of machine learning tasks to an untrusted service provider (server) while preserving the privacy of the user's data (client). Attaining good concrete efficiency for complicated machine learning tasks, such as training decision trees, is one of the challenges in this area. Prior works on privacy-preserving decision trees required the parties to have comparable computational resources, and instructed the client to perform computation proportional to the complexity of the entire task. In this work we present new protocols for privacy-preserving decision trees, for both training and prediction, achieving the following desirable properties: 1. Efficiency: the client's complexity is independent of the training-set size during training, and of the tree size during prediction. 2. Security: privacy holds against malicious servers. 3. Practical usability: high accuracy, fast prediction, and feasible training demonstrated on standard UCI datasets, encrypted with fully homomorphic encryption. To the best of our knowledge, our protocols are the first to offer all these properties simultaneously. The core of our work consists of two technical contributions. First, a new low-degree polynomial approximation for functions, leading to faster protocols for training and prediction on encrypted data. Second, a design of an easy-to-use mechanism for proving privacy against malicious adversaries that is suitable for a wide family of protocols, and in particular, our protocols; this mechanism could be of independent interest.

We describe a new protocol to achieve two party $\epsilon$-fair exchange: at any point in the unfolding of the protocol the difference in the probabilities of the parties having acquired the desired term is bounded by a value $\epsilon$ that can be made as small as necessary. Our construction uses oblivious transfer and sidesteps previous impossibility results by using a timed-release encryption, that releases its contents only after some lower bounded time. We show that our protocol can be easily generalized to an $\epsilon$-fair two-party protocol for all functionalities. To our knowledge, this is the first protocol to truly achieve $\epsilon$-fairness for all functionalities. All previous constructions achieving some form of fairness for all functionalities (without relying on a trusted third party) had a strong limitation: the fairness guarantee was only guaranteed to hold if the honest parties are at least as powerful as the corrupted parties and invest a similar amount of resources in the protocol, an assumption which is often not realistic. Our construction does not have this limitation: our protocol provides a clear upper bound on the running time of all parties, and partial fairness holds even if the corrupted parties have much more time or computational power than the honest parties. Interestingly, this shows that a minimal use of timed-release encryption suffices to circumvent an impossibility result of Katz and Gordon regarding $\epsilon$-fair computation for all functionalities, without having to make the (unrealistic) assumption that the honest parties are as computationally powerful as the corrupted parties - this assumption was previously believed to be unavoidable in order to overcome this impossibility result. We present detailed security proofs of the new construction, which are non-trivial and form the core technical contribution of this work.

The use of rank instead of Hamming metric has been proposed to address the main drawback of code-based cryptography: large key sizes. There exist several Key Encapsulation Mechanisms (KEM) and Public Key Encryption (PKE) schemes using rank metric including some submissions to the NIST call for standardization of Post-Quantum Cryptography. In this work, we present an IND-CCA PKE scheme based on the McEliece adaptation to rank metric proposed by Loidreau at PQC 2017. This IND-CCA PKE scheme based on rank metric does not use a hybrid construction KEM + symmetric encryption. Instead, we take advantage of the bigger message space obtained by the different parameters chosen in rank metric, being able to exchange multiple keys in one ciphertext. Our proposal is designed considering some specific properties of the random error generated during the encryption. We prove our proposal IND-CCA-secure in the QROM by using a security notion called disjoint simulatability introduced by Saito et al. in Eurocrypt 2018. Moreover, we provide security bounds by using the semi-oracles introduced by Ambainis et al.

We introduce Oblivious Key Management Systems (KMS) as a more secure alternative to traditional wrapping-based KMS that form the backbone of key management in large-scale data storage deployments. The new system, that builds on Oblivious Pseudorandom Functions (OPRF), hides keys and object identifiers from the KMS, offers unconditional security for key transport, provides key verifiability, reduces storage, and more. Further, we show how to provide all these features in a distributed threshold implementation that enhances protection against server compromise. We extend this system with updatable encryption capability that supports key updates (known as key rotation) so that upon the periodic change of OPRF keys by the KMS server, a very efficient update procedure allows a client of the KMS service to non-interactively update all its encrypted data to be decryptable only by the new key. This enhances security with forward and post-compromise security, namely, security against future and past compromises, respectively, of the client's OPRF keys held by the KMS. Additionally, and in contrast to traditional KMS, our solution supports public key encryption and dispenses with any interaction with the KMS for data encryption (only decryption by the client requires such communication). Our solutions build on recent work on updatable encryption but with significant enhancements applicable to the remote KMS setting. In addition to the critical security improvements, our designs are highly efficient and ready for use in practice. We report on experimental implementation and performance.

We show that the recently introduced notion of round-by-round soundness for interactive proofs (Canetti et al.; STOC 2019) is equivalent to the notion of soundness against state restoration attacks (Ben-Sasson, Chiesa, and Spooner; TCC 2016). We also observe that neither notion is implied by the random-oracle security of the Fiat-Shamir transform.

Blockchain brings dawn to decentralized applications which coordinate correct computations without a prior trust. However, existing scalable on-chain frameworks are incompetent in dealing with intensive validation. On the one hand, duplicated execution pattern leads to limited throughput and unacceptable expenses. On the other hand, there lack fair and secure incentive mechanisms allocating rewards according to the actual workload of validators, thus deriving bad dilemmas among rational participants and inducing effective attacks from shrewd adversaries. While most solutions rely on off-chain patterns to sidestep the shackles, it further introduces unexpected issues in applicability, fairness and brittle dependency on interactive cooperation. The intrinsic bottleneck of backbone has never been drastically broken. This work presents Lever, the first scalable on-chain framework which supports intensive validation, meanwhile achieves validity, incentive compatibility and cost-efficiency tolerance of f<n/4 Byzantine participants. Lever firstly integrates the evaluation of complexity into the correctness of transaction, thoroughly decoupling intensive validation from regular Byzantine consensus. Significant scalability is then achieved by launching few rounds of novel validation-challenge game between potential adversaries and rational stakeholders; compelling incentive mechanism effectively transfers deposits of adversary to specialized rewards for honest validators, therefore allows the user to lever sufficient endorsement for verification with minimum cost. Combined with game-theoretic insights, a backstop protocol is designed to ensure finality and validity of the framework, breaking through the famous Verifier’s Dilemma. Finally, we streamline Lever under the efficient architecture of sharding, which jointly shows robust to conceivable attacks on validation and performs outstanding ability to purify Byzantine participants. Experimental results show that Lever vastly improves the throughput and reduces expenses of intensive validation with slight compromise in latency.

We propose two one-round authenticated group-key exchange protocols from newly employed cryptographic invariant maps (CIMs): one is secure under the quantum random oracle model and the other resists against maximum exposure where a non-trivial combination of secret keys is revealed. The security of the former (resp. latter) is proved under the n-way decisional Diffie-Hellman (resp. n-way gap Diffie-Hellman) assumption on the CIMs in the quantum random (resp. random) oracle model. We instantiate the proposed protocols on the hard homogeneous spaces with limitation where the number of the user group is two. In particular, the protocols instantiated by using the CSIDH, commutative supersingular isogeny Diffie-Hellman, key exchange are currently more realistic than the general n-party CIM-based ones due to its implementability. Our two-party one-round protocols are secure against quantum adversaries.

Outsourcing secure multiparty computation(SMC) protocols has allowed resource-constrained devices to take advantage of these developing cryptographic primitives with great efficiency. While the existing constructions for outsourced SMC guarantee input and output privacy, they require that all parties know the function being evaluated. Thus, stronger security guarantees are necessary in applications where the function itself needs to be kept private. We develop the first linear-complexity protocols for outsourcing private function evaluation (PFE), a subset of SMC protocols that provide both input and function privacy. Assuming a semi-honest function holder, we build on the most efficient two-party PFE constructions to develop outsourced protocols that are secure against a semi-honest, covert, or malicious Cloud server and malicious mobile devices providing input to the function. Our protocols require minimal symmetric key operations and only two rounds of communication from the mobile participants. As a secondary contribution, we develop a technique for combining public and private sub-circuits in a single computation called partially-circuit private (PCP) garbling. This novel garbling technique allows us to apply auxiliary circuits to check for malicious behavior using only free-XOR overhead gates rather than the significantly more costly PFE gate construction. These protocols demonstrate the feasibility of outsourced PFE and provide a first step towards developing privacy-preserving applications for use in Cloud computing.

An important characteristic of recent MPC protocols is an input-independent setup phase in which most computations are offloaded, which greatly reduces the execution overhead of the online phase where parties provide their inputs. For a very efficient evaluation of arithmetic circuits in an information-theoretic online phase, the MPC protocols consume Beaver multiplication triples generated in the setup phase. Triple generation is generally the most expensive part of the protocol, and improving its efficiency is the aim of our work. We specifically focus on computation over rings of the form $Z_{2^\ell}$ in the semi-honest model and the two-party setting, for which an Oblivious Transfer (OT)-based protocol is the currently best solution. To improve upon this method, we propose a protocol based on RLWE-based Additively Homomorphic Encryption. Our experiments show that our protocol is more scalable, and it outperforms the OT-based protocol in most cases. For example, we improve communication by up to 6.9x and runtime by up to 3.6x for 64-bit triple generation.

Succinct non-interactive arguments (SNARGs) enable verifying NP computations with substantially lower complexity than that required for classical NP verification. In this work, we construct a zero-knowledge SNARG candidate that relies only on lattice-based assumptions which are claimed to hold even in the presence of quantum computers. Central to this new construction is the notion of linear-targeted malleability introduced by Bitansky et al. (TCC 2013) and the conjecture that variants of Regev encryption satisfy this property. Then, using the efficient characterization of NP languages as Square Arithmetic Programs we build the first quantum-resilient zk-SNARG for arithmetic circuits with a constant-size proof consisting of only 2 lattice-based ciphertexts. Our protocol is designated-verifier, achieves zero-knowledge and has shorter proofs and shorter CRS than the previous such schemes, e.g. Boneh et al. (Eurocrypt 2017).

In this paper we put forth new efficient one-message proof systems for several practical applications, like proving that an El Gamal ciphertext (over a multiplicative group) decrypts to a given value and correctness of a shuffle. Our proof systems are built from multiplicative groups of hidden order, are not based on any setup/trust assumption like the RO or the common reference string model and are perfectly sound, that is they are written proofs in the sense of mathematics. Our proof systems satisfy a generalization of zero-knowledge (ZK) that we call harmless zero-knowledge (HZK). The simulator of an $O$-HZK proof for a relation over a language $L$ is given the additional capability of invoking an oracle $O$ relative to which $L$ is hard to decide. That is, the proof does not leak any knowledge that an adversary might not compute by itself interacting with an oracle $O$ that does not help to decide the language. Unlike ZK, non-interactivity and perfect soundness do not contradict HZK and HZK can replace ZK in any application in which, basically, the computational assumptions used in the application hold even against adversaries with access to $O$. An $O$-HZK proof is witness hiding (WH) for distributions hard against adversaries with access to $O$, and strong-WI when quantifying over distributions that are indistinguishable by adversaries with access to $O$. Moreover, an $O$-HZK proof is witness indistinguishable (and the property does not depend on the oracle). We provide a specific oracle DHInvO that is enough powerful to make our main proof systems DHInvO-HZK but not trivial: indeed, we show concrete and practical cryptographic protocols that can be proven secure employing a DHInvO-HZK proof in the reduction and that are instead not achievable using traditional ZK (unless resorting to the CRS/RO models). Efficient one-message proof systems with perfect soundness were only known for relations over bilinear groups and were proven only witness indistinguishable. As byproduct, we also obtain a perfectly sound non-interactive ZAP, WH and HZK proof system for $NP$ relations from number-theoretic assumptions over multiplicative groups of hidden order. No non-interactive WH proof system for $NP$ (neither for simpler non-trivial relations) was previously known.

Timed-release encryption is a kind of encryption scheme that a recipient can decrypt only after a specified amount of time T (assuming that we have a moderately precise estimate of his computing power). A revocable timed-release encryption is one where, before the time T is over, the sender can "give back" the timed-release encryption, provably loosing all access to the data. We show that revocable timed-release encryption without trusted parties is possible using quantum cryptography (while trivially impossible classically). Along the way, we develop two proof techniques in the quantum random oracle model that we believe may have applications also for other protocols. Finally, we also develop another new primitive, unknown recipient encryption, which allows us to send a message to an unknown/unspecified recipient over an insecure network in such a way that at most one recipient will get the message.

Due to its capabilities of searches and updates over the encrypted database, the dynamic searchable symmetric encryption (DSSE) has received considerable attention recently. To resist leakage abuse attacks, a secure DSSE scheme usually requires forward and backward privacy. However, the existing forward and backward private DSSE schemes either only support single keyword queries or require more interactions between the client and the server. In this paper, we first give a new leakage function for range queries, which is more complicated than the one for single keyword queries. Furthermore, we propose a concrete forward and backward private DSSE scheme by using a refined binary tree data structure. Finally, the detailed security analysis and extensive experiments demonstrate that our proposal is secure and efficient, respectively.

User interaction constitutes a largely unexplored field in protocol analysis, even in instances where the user takes an active role as a trusted third party, such as in the Internet of Things (IoT) device initialization protocols. Initializing the study of computational analysis of 3-party authentication protocols where one party is a physical user, this research introduces the 3-party possession user mediated authentication (3-PUMA) model. The 3-PUMA model addresses active user participation in a protocol which is designed to authenticate possession of a fixed data string – such as in IoT device commissioning. To demonstrate the 3-PUMA model in practice, we provide a computational analysis of the ISO/IEC 9798- 6:2010 standard’s Mechanism 7a authentication protocol which includes a user interface and interaction as well as a device-to-device channel. We show that the security of ISO/IEC 9798-6:2010 Mechanism 7a relies upon a non-standard MAC security notion, which we term existential unforgeability under key collision attacks (EUF-KCA). It is unknown if any standardized MAC algorithm achieves EUF-KCA security, indicating a potential vulnerability in the standard.

Developing machine learning models from federated training data, containing many independent samples, is an important task that can significantly enhance the potential applicability and prediction power of learned models. Since single users, like hospitals or individual labs, typically collect data-sets that do not support accurate learning with high confidence, it is desirable to combine data from several users without compromising data privacy. In this paper, we develop a privacy-preserving solution for learning a linear regression model from data collectively contributed by several parties (``data owners''). Our protocol is based on the protocol of Giacomelli et al. (ACNS 2018) that utilized two non colluding servers and Linearly Homomorphic Encryption (LHE) to learn regularized linear regression models. Our methods use a different LHE scheme that allows us to significantly reduce both the number and runtime of homomorphic operations, as well as the total runtime complexity. Another advantage of our protocol is that the underlying LHE scheme is based on a different (and post-quantum secure) security assumption than Giacomelli et al. Our approach leverages the Chinese Remainder Theorem, and Single Instruction Multiple Data representations, to obtain our improved performance. For a 1000 x 40 linear regression task we can learn a model in a total of 3 seconds for the homomorphic operations, compared to more than 100 seconds reported in the literature. Our approach also scales up to larger feature spaces: we implemented a system that can handle a 1000 x 100 linear regression task, investing minutes of server computing time after a more significant offline pre-processing by the data owners. We intend to incorporate our protocol and implementations into a comprehensive system that can handle secure federated learning at larger scales.

The functionality of classically-instructed remotely prepared random secret qubits was introduced in (Cojocaru et al 2018) as a way to enable classical parties to participate in secure quantum computation and communications protocols. The idea is that a classical party (client) instructs a quantum party (server) to generate a qubit to the server's side that is random, unknown to the server but known to the client. Such task is only possible under computational assumptions. In this contribution we define a simpler (basic) primitive consisting of only BB84 states, and give a protocol that realizes this primitive and that is secure against the strongest possible adversary (an arbitrarily deviating malicious server). The specific functions used, were constructed based on known trapdoor one-way functions, resulting to the security of our basic primitive being reduced to the hardness of the Learning With Errors problem. We then give a number of extensions, building on this basic module: extension to larger set of states (that includes non-Clifford states); proper consideration of the abort case; and verifiablity on the module level. The latter is based on ``blind self-testing'', a notion we introduced, proved in a limited setting and conjectured its validity for the most general case.

Concerns about the impact of quantum computers on currently deployed public key cryptography have instigated research into not only quantum-resistant cryptographic primitives but also how to transition applications from classical to quantum-resistant solutions. One approach to mitigate the risk of quantum attacks and to preserve common security guarantees are hybrid schemes, which combine classically secure and quantum-resistant schemes. Various academic and industry experiments and draft standards related to the Transport Layer Security (TLS) protocol already use some form of hybrid key exchange; however sound theoretical approaches to substantiate the design and security of such hybrid key exchange protocols are missing so far. We initiate the modeling of hybrid authenticated key exchange protocols. We consider security against adversaries with varying levels of quantum power over time, such as adversaries who may become quantum in the future or are quantum in the present. We reach our goal using a three-step approach: First, we introduce security notions for key encapsulation mechanisms (KEMs) that enable a fine-grained distinction between different quantum scenarios. Second, we propose several combiners for constructing hybrid KEMs that correspond closely to recently proposed Internet-Drafts for hybrid key exchange in TLS 1.3. Finally, we present a provably sound design for hybrid key exchange using KEMs as building blocks.

Homomorphic encryption (HE) is one of the main tools in secure multiparty computation (MPC), and the (elliptic-curve) lifted-ElGamal cryptosystem is certainly the most efficient among the existing HE schemes. However, the combination of MPC with this most efficient HE has rarely appeared in the literature. This is mainly because the major known techniques for (additively) HE-based MPC are not available for this scheme due to its typical restriction that only a plaintext in a small range can be efficiently decrypted. In this paper, we resolve this problem. By our technique, a Server having a lifted-ElGamal ciphertext $[[m]]$ with unknown small plaintext $m$ can obtain a ciphertext $[[ \varphi(m) ]]$ for an arbitrary function $\varphi$ by just one-round communication with a semi-honest Client (and also two-rounds with a malicious Client) having a decryption key, where $m$ is kept secret for both parties. This property enlarges much the variations of MPC based on the most efficient lifted-ElGamal cryptosystem. As an application, we implemented MPC for exact edit distance between two encrypted strings; our experiment for strings of length $1024$ shows that the protocol takes only $45$ seconds in LAN environments and about $3$ minutes even in WAN environments. Moreover, our technique is also available with other "lifted-ElGamal type" HE schemes and admits different keys/schemes for the original and the resulting ciphertexts. For example, we can securely convert a level-2 (i.e., after multiplication) ciphertext for some two-level HE schemes into a level-1 (i.e., before multiplication) ciphertext, and securely apply arbitrary functions $\varphi(m)$ to encrypted plaintexts for some attribute-based HE schemes. This is the first result (even by using communication) on realizing these two functionalities.

We study the problem of dynamic searchable encryption (DSE) with forward-and-backward privacy. Many DSE schemes have been proposed recently but the most efficient ones have one limitation: they require maintaining an operation counter for each unique keyword, either stored locally at the client or accessed obliviously (e.g., with an oblivious map) at the server, during every operation. We propose three new schemes that overcome the above limitation and achieve constant permanent client storage with improved performance, both asymptotically and experimentally, compared to prior state-of-the-art works. In particular, our first two schemes adopt a “static-to-dynamic” transformation which eliminates the need for oblivious accesses during searches. Due to this, they are the first practical schemes with minimal client storage and non-interactive search. Our third scheme is the first quasi-optimal forward-and-backward DSE scheme with only a logarithmic overhead for retrieving the query result (independently of previous deletions). While it does require an oblivious access during search in order to keep permanent client storage minimal, its practical performance is up to four orders of magnitude better than the best existing scheme with quasi-optimal search.

In this paper, we introduce updatable anonymous credential systems (UACS) and use them to construct a new privacy-preserving incentive system. In a UACS, a user holding a credential certifying some attributes can interact with the corresponding issuer to update his attributes. During this, the issuer knows which update function is run, but does not learn the user's previous attributes. Hence the update process preserves anonymity of the user. One example for a class of update functions are additive updates of integer attributes, where the issuer increments an unknown integer attribute value $v$ by some known value $k$. This kind of update is motivated by an application of UACS to incentive systems. Users in an incentive system can anonymously accumulate points, e.g. in a shop at checkout, and spend them later, e.g. for a discount. In this paper, we (1) formally define UACS and their security, (2) give a generic construction for UACS supporting arbitrary update functions, and (3) construct a practically efficient incentive system using UACS.

In systems equipped with radio frequency identification (RFID) technology, several security concerns may arise when the ownership of a tag should be transferred from one owner to another, e.g., the confidentiality of information related to the old owner or the new owner. Therefore, this transfer is usually done via a security protocol called the ownership transfer protocol. If the ownership of several things together transmitted from one owner to another during a single session, the protocol is referred to as the group ownership transfer protocol. Lee et al. recently proposed a new group ownership transfer protocol by using cloud server, as a trusted third-party, and based on homomorphic encryption and quadratic residue. In this paper, at first, we explain some important security attacks against this recently proposed RFID group ownership transfer protocol. The success probability of any attack that is presented in this paper is $1$ and the complexity is just a run of the protocol. Zhu et al. also in order to provide simultaneous transfer of group of tags in multi-owner environment proposed a lightweight anonymous group ownership transfer protocol. In this paper, we show that it suffers from desynchronization attack. The success probability of this attack is "1" and its complexity is only five runs of group ownership transfer protocol. In addition, to overcome the Lee \textit{et al.} protocol security weaknesses, we present a new group ownership transfer protocol which is resistant against all known active and passive attacks, including the attacks presented in this paper. The provided security proof through informal methods and also formal methods such as Barrows-Abadi-Needham logic and Scyther tool show the proposed protocol's security correctness.

Many cryptographic mechanisms depend upon the availability of securely generated random numbers. In practice, the sources of random numbers can be unreliable for many reasons, including bugs, compromise or subversion of standards. While there exist ways to significantly reduce the impact of unreliable randomness, these typically do not work well with practical constraints, such as long-term keys stored in hardware security modules. In practice, even modern protocols like TLS 1.3 lack such mechanisms and are therefore highly vulnerable to unreliable randomness. We propose a wrapper construction that reduces the impact of untrusted randomness, and which is is compatible with, and effective in, existing deployments of protocols such as TLS. We provide a security analysis of the construction and elaborate on design choices and practical interpretations. Our findings show that it is possible to effectively harden deployed protocols against unreliable randomness.

Topology-Hiding Computation (THC) allows a set of parties to securely compute a function over an incomplete network without revealing information on the network topology. Since its introduction in TCC'15 by Moran et al., the research on THC has focused on reducing the communication complexity, allowing larger graph classes, and tolerating stronger corruption types. All of these results consider a fully synchronous model with a known upper bound on the maximal delay of all communication channels. Unfortunately, in any realistic setting this bound has to be extremely large, which makes all fully synchronous protocols inefficient. In the literature on multi-party computation, this is solved by considering the fully asynchronous model. However, THC is unachievable in this model (and even hard to define), leaving even the definition of a meaningful model as an open problem. The contributions of this paper are threefold. First, we introduce a meaningful model of unknown and random communication delays for which THC is both definable and achievable. The probability distributions of the delays can be arbitrary for each channel, but one needs to make the (necessary) assumption that the delays are independent. The existing fully-synchronous THC protocols do not work in this setting and would, in particular, leak information about the topology. Second, in the model with trusted stateless hardware boxes introduced at Eurocrypt'18 by Ball et al., we present a THC protocol that works for any graph class. Third, we explore what is achievable in the standard model without trusted hardware and present a THC protocol for specific graph types (cycles and trees) secure under the DDH assumption. The speed of all protocols scales with the actual (unknown) delay times, in contrast to all previously known THC protocols whose speed is determined by the assumed upper bound on the network delay.

A garbling scheme enables one to garble a circuit C and an input x in a way that C(x) can be evaluated, but nothing else is revealed. Since the first construction by Yao, there have been tremendous practical efficiency improvements for selectively secure garbling schemes, where the adversary is forced to choose both input and circuit to be garbled at the same time. However, in the more realistic setting of adaptive security --where an adversary can choose the input adaptively based on the garbled circuit-- not much is known about practical efficiency improvements. In this work, we initiate the study of practical garbling schemes that are both more efficient than Yao's construction and adaptively secure. We provide insights into characteristics of these schemes and highlight the limitations of current techniques for proving adaptive security in this regime. Furthermore, we present an adaptively secure garbling scheme that garbles XOR gates with 2 and AND gates with 3 ciphertexts per gate, thus providing the first practical garbling scheme with adaptive security based on PRFs whose garbled circuit size is smaller than that of Yao's construction.

This paper introduces a cryptographic commitment using multiple platform groups where the attacker must solve multiple instances of the Discrete Logarithm Problem to break the scheme. The goal is that Alice and Bob establish a secret communication after verifying a finite set of values that have been computed using multiple trapdoor-permutation functions. Moreover, applicable cryptanalytic techniques and procedures that entirely define this scheme are discussed

The cryptographic task of secure multi-party (classical) computation has received a lot of attention in the last decades. Even in the extreme case where a computation is performed between k mutually distrustful players, and security is required even for the single honest player if all other players are colluding adversaries, secure protocols are known. For quantum computation, on the other hand, protocols allowing arbitrary dishonest majority have only been proven for k = 2. In this work, we generalize the approach taken by Dupuis, Nielsen and Salvail (CRYPTO 2012) in the two-party setting to devise a secure, efficient protocol for multi-party quantum computation for any number of players k, and prove security against up to k &#8722; 1 colluding adversaries. The quantum round complexity of the protocol for computing a quantum circuit with g gates acting on w qubits is O((w + g)k). To achieve efficiency, we develop a novel public verification protocol for the Clifford authentication code, and a testing protocol for magic-state inputs, both using classical multi-party computation.

Most modern actively-secure multiparty computation (MPC) protocols involve generating random data that is secret-shared and authenticated, and using it to evaluate arithmetic or Boolean circuits in different ways. In this work we present a generic method for converting authenticated secret-shared data between different fields, and show how to use it to evaluate so-called ``mixed'' circuits with active security and in the full-threshold setting. A mixed circuit is one in which parties switch between different subprotocols dynamically as computation proceeds, the idea being that some protocols are more efficient for evaluating arithmetic circuits, and others for Boolean circuits. One use case of our switching mechanism is for converting between secret-sharing-based MPC and garbled circuits (GCs). The former is more suited to the evaluation of arithmetic circuits and can easily be used to emulate arithmetic over the integers, whereas the latter is better for Boolean circuits and has constant round complexity. Much work already exists in the two-party semi-honest setting, but the $n$-party dishonest majority case was hitherto neglected. We call the actively-secure mixed arithmetic/Boolean circuit a marbled circuit. Our implementation showed that mixing protocols in this way allows us to evaluate a linear Support Vector Machine with $400$ times fewer AND gates than a solution using GC alone albeit with twice the preprocessing required using only SPDZ (Damgård et al., CRYPTO '12), and thus our solution offers a tradeoff between online and preprocessing complexity. When evaluating over a WAN network, our online phase is $10$ times faster than the plain SPDZ protocol.

We give the first construction of three-round non-malleable commitments from the almost minimal assumption of injective one-way functions. Combined with the lower bound of Pass (TCC 2013), our result is almost the best possible w.r.t. standard polynomial-time hardness assumptions (at least w.r.t. black-box reductions). Our results rely on a novel technique which we call bidirectional Goldreich-Levin extraction. Along the way, we also obtain the first rewind secure delayed-input witness indistinguishable (WI) proofs from only injective one-way functions. We also obtain the first construction of a distributionally extractable commitment scheme from injective one-way functions. We believe both of these to be of independent interest. In particular, as a direct corollary of our rewind secure WI construction, we are able to obtain a construction of 3-round promise zero-knowledge from only injective one-way functions.

One of the most interesting research topics in cryptography is finding efficient homomorphic encryption schemes, preferably information-theoretically secure, which are not based on unproven computational hardness assumptions. The most significant breakthrough in this field was made by Craig Gentry in 2009, and since then, there were various developments. We suggest here an information-theoretically secure secret sharing scheme that efficiently supports one homomorphic multiplication of secrets in addition to homomorphic additions of, practically, any number of such multiplied secrets. In particular, our scheme enables sharing a dynamic set of secrets amongst N participants, using polynomials of degree N-1. Quadratic functions and 2-CNF circuits over the set of secrets can then be homomorphically evaluated, while no information is revealed to any single participant, both before and after the computation. Our scheme is statistically secure against coalitions of less than N-1 participants. One possible application of our scheme is a secure homomorphic evaluation of multi-variate quadratic functions and 2-CNF circuits.

Secure messaging (SM) protocols allow users to communicate securely over untrusted infrastructure. In contrast to most other secure communication protocols (such as TLS, SSH, or Wireguard), SM sessions may be long-lived (e.g., years) and highly asynchronous. In order to deal with likely state compromises of users during the lifetime of a session, SM protocols do not only protect authenticity and privacy, but they also guarantee forward secrecy (FS) and post-compromise security (PCS). The former ensures that messages sent and received before a state compromise remain secure, while the latter ensures that users can recover from state compromise as a consequence of normal protocol usage. SM has received considerable attention in the two-party case, where prior work has studied the well-known double-ratchet paradigm in particular and SM as a cryptographic primitive in general. Unfortunately, this paradigm does not scale well to the problem of secure group messaging (SGM). In order to address the lack of satisfactory SGM protocols, the IETF has launched the message-layer security (MLS) working group, which aims to standardize an eponymous SGM protocol. In this work we analyze the TreeKEM protocol, which is at the core of the SGM protocol proposed by the MLS working group. On a positive note, we show that TreeKEM achieves PCS in isolation (and slightly more). However, we observe that the current version of TreeKEM does not provide an adequate form of FS. More precisely, our work proceeds by formally capturing the exact security of TreeKEM as a so-called continuous group key agreement (CGKA) protocol, which we believe to be a primitive of independent interest. To address the insecurity of TreeKEM, we propose a simple modification to TreeKEM inspired by recent work of Jost et al. (EUROCRYPT '19) and an idea due to Kohbrok (MLS Mailing List). We then show that the modified version of TreeKEM comes with almost no efficiency degradation but achieves optimal (according to MLS specification) CGKA security, including FS and PCS. Our work also lays out how a CGKA protocol can be used to design a full SGM protocol. Finally, we propose and motivate an extensive list of potential future research directions for the area.

This work provides an instantiation of the Bulletproof zero-knowledge algorithm in modulo prime number fields. The primary motivation for this work is to help readers understand the steps of the Bulletproof protocol.

Hash proof systems or smooth projective hash functions (SPHFs) have been proposed by Cramer and Shoup (Eurocrypt'02) and can be seen as special type of zero-knowledge proof system for a language. While initially used to build efficient chosen-ciphertext secure public-key encryption, they found numerous applications in several other contexts. In this paper, we revisit the notion of SPHFs and introduce a new feature (a third mode of hashing) that allows to compute the hash value of an SPHF without having access to neither the witness nor the hashing key, but some additional auxiliary information. We call this new type publicly computable SPHFs (PC-SPHFs) and present a formal framework along with concrete instantiations from a large class of SPHFs. We then show that this new tool generically leads to commitment schemes that are secure against adaptive adversaries, assuming erasures in the Universal Composability (UC) framework, yielding the first UC secure commitments build from a single SPHF instance. Instantiating our PC-SPHF with an SPHF for labeled Cramer-Shoup encryption gives the currently most efficient non-interactive UC-secure commitment. Finally, we also discuss additional applications to information retrieval based on anonymous credentials being UC secure against adaptive adversaries.

Secure Multi-party Computation (MPC) with small population and honest majority has drawn focus specifically due to customization in techniques and resulting efficiency that the constructions can offer. In this work, we investigate a wide range of security notions in the five-party setting, tolerating two active corruptions. Being constant-round, our protocols are best suited for real-time, high latency networks such as the Internet. In a minimal setting of pairwise-private channels, we present efficient instantiations with unanimous abort (where either all honest parties obtain the output or none of them do) and fairness (where the adversary obtains its output only if all honest parties also receive it). With the presence of an additional broadcast channel (known to be necessary), we present a construction with guaranteed output delivery (where any adversarial behaviour cannot prevent the honest parties from receiving the output). The broadcast communication is minimal and independent of circuit size. In terms of performance (communication and run time), our protocols incur minimal overhead over the best known protocol of Chandran et al. (ACM CCS 2016) that achieves the least security notion of selective abort. Further, our protocols for fairness and unanimous abort can be extended to n-parties with at most $\sqrt{n}$ corruptions, similar to Chandran et al. Going beyond the most popular honest-majority setting of three parties with one corruption, our results demonstrate feasibility of attaining stronger security notions at an expense not too far from the least desired security of selective abort.

We study the concrete security of high-performance implementations of half-gates garbling, which all rely on (hardware-accelerated)~AES. We find that current instantiations using $k$-bit wire labels can be completely broken---in the sense that the circuit evaluator learns all the inputs of the circuit garbler---in time $O(2^k/C)$, where $C$ is the total number of (non-free) gates that are garbled, possibly across multiple independent executions. The attack can be applied to existing circuit-garbling libraries using $k=80$ when $C \approx 10^9$, and would require 267 machine-months and cost about USD 3500 to implement on the Google Cloud Platform. Since the attack can be entirely parallelized, the attack could be carried out in about a month using $\approx 250$ machines. With this as our motivation, we seek a way to instantiate the hash function in the half-gates scheme so as to achieve better concrete security. We present a construction based on AES that achieves optimal security in the single-instance setting (when only a single circuit is garbled). We also show how to modify the half-gates scheme so that its concrete security does not degrade in the multi-instance setting. Our modified scheme is as efficient as prior work in networks with up to 2 Gbps bandwidth.

In ASIACRYPT 2016, Bellare, Fuchsbauer, and Scafuro studied the security of non-interactive zero-knowledge (NIZK) arguments in the face of parameter subversion. They showed that achieving subversion soundness (soundness without trusting to the third party) and standard zero-knowledge is impossible at the same time. On the positive side, in the best case, they showed that one can achieve subversion zero-knowledge (zero-knowledge without trusting to the third party) and soundness at the same time. In this paper, we show that one can amplify their best positive result and construct NIZK arguments that can achieve subversion zero-knowledge and $\textit{simulation}$ (knowledge) soundness at the same time. Simulation (knowledge) soundness is a stronger notion in comparison with (knowledge) soundness, as it also guarantees non-malleability of proofs. Such a stronger security guarantee is a must in practical systems. To prove the result, we show that given a NIZK argument that achieves Sub-ZK and (knowledge) soundness, one can use an OR-based construction to define a new language and build a NIZK argument that will guarantee Sub-ZK and $\textit{simulation}$ (knowledge) soundness at the same time. We instantiate the construction with the state-of-the-art zk-SNARK proposed by Groth [Eurocrypt 2016] and obtain an efficient SNARK that guarantees Sub-ZK and simulation knowledge soundness.

We consider the problem of securely generating useful instances of two-party correlations, such as many independent copies of a random oblivious transfer (OT) correlation, using a small amount of communication. This problem is motivated by the goal of secure computation with silent preprocessing, where a low-communication input-independent setup, followed by local ("silent") computation, enables a lightweight "non-cryptographic" online phase once the inputs are known. Recent works of Boyle et al. (CCS 2018, Crypto 2019) achieve this goal with good concrete efficiency for useful kinds of two-party correlations, including OT correlations, under different variants of the Learning Parity with Noise (LPN) assumption, and using a small number of "base" oblivious transfers. The protocols of Boyle et al. have several limitations. First, they require a large number of communication rounds. Second, they are only secure against semi-honest parties. Finally, their concrete efficiency estimates are not backed by an actual implementation. In this work we address these limitations, making three main contributions: - Eliminating interaction. Under the same assumption, we obtain the first concretely efficient 2-round protocols for generating useful correlations, including OT correlations, in the semi-honest security model. This implies the first efficient 2-round OT extension protocol of any kind and, more generally, protocols for non-interactive secure computation (NISC) that are concretely efficient and have the silent preprocessing feature. - Malicious security. We provide security against malicious parties (in the random oracle model) without additional interaction and with only a modest concrete overhead; prior to our work, no similar protocols were known with any number of rounds. - Implementation. Finally, we implemented, optimized, and benchmarked our 2-round OT extension protocol, demonstrating that it offers a more attractive alternative to the OT extension protocol of Ishai et al. (Crypto 2003) in many realistic settings.

A certificate thumbprint is a hash of a certificate, computed over all certificate data and its signature. Thumbprints are used as unique identifiers for certificates, in applications when making trust decisions, in configuration files, and displayed in interfaces. In this paper we show that thumbprints are not unique in two cases. First, we demonstrate that creating two X.509 certificates with the same thumbprint is possible when the hash function is weak, in particular when chosen-prefix collision attacks are possible. This type of collision attack is now practical for MD5, and expected to be practical for SHA-1 in the near future. Second, we show that certificates may be mauled in a way that they remain valid, but that they have different thumbprints. While these properties may be unexpected, we believe the scenarios where this could lead to a practical attack are limited and require very sophisticated attackers. We also checked the thumbprints of a large dataset of certificates used on the Internet, and found no evidence that would indicate thumbprints of certificates in use today are not unique.

We present two new, highly efficient, protocols for securely generating a distributed RSA key pair in the two-party setting. One protocol is semi-honestly secure and the other maliciously secure. Both are constant round and do not rely on any specific number-theoretic assumptions and improve significantly over the state-of-the-art by allowing a slight leakage (which we show to not affect security). For our maliciously secure protocol our most significant improvement comes from executing most of the protocol in a ``strong'' semi-honest manner and then doing a single, light, zero-knowledge argument of correct execution. We introduce other significant improvements as well. One such improvement arrives in showing that certain, limited leakage does not compromise security, which allows us to use lightweight subprotocols. Another improvement, which may be of independent interest, comes in our approach for multiplying two large integers using OT, in the malicious setting, without being susceptible to a selective-failure attack. Finally, we implement our malicious protocol and show that its performance is an order of magnitude better than the best previous protocol, which provided only semi-honest security.

Outsourcing data to the cloud for personal use is becoming an everyday trend rather than an extreme scenario. The frequent outsourcing of data increases the possible attack window because users do not fully control their personal files. Typically, once there are established secure channels between two endpoints, communication is considered secure. However, in the cloud model the receiver–the cloud–cannot be fully trusted, either because it has been under adversarial control, or because it acts maliciously to increase its revenue by deleting infrequent accessed file blocks. One approach used by current literature to address the aforementioned security concerns is via Remote Data Integrity Checking (RDIC) protocols, whereby a data owner can challenge an untrusted cloud service provider (CSP) to prove faithful storage of its data. Current RDIC protocols assume that the original data format remains unchanged. However, users may wish to compress their data in order to enjoy less charges. In that case, current RDIC protocols become impractical because, each time compression happens on a file, the user has to run a new RDIC protocol. In this work we initiate the study for Auditable Compressed Storage (ACS). After defining the new model we instantiate two protocols for different widely used compression techniques: run length encoding and Huffman encoding. In contrast with conventional RDIC, our protocols allow a user to delegate the compression to the cloud in a provably secure way: The client can verify correctness of compression without having to download the entire uncompressed file and check it against the compressed one.

This work presents a hashing-based algorithm for Private Set Intersection (PSI) in the honest-but-curious setting. The protocol is generic, modular and provides both asymptotic and concrete efficiency improvements over existing PSI protocols. If each player has $m$ elements, our scheme requires only $O(m \secpar)$ communication between the parties, where $\secpar$ is a security parameter. Our protocol builds on the hashing-based PSI protocol of Pinkas et al. (USENIX 2014, USENIX 2015), but we replace one of the sub-protocols (handling the cuckoo ``stash'') with a special-purpose PSI protocol that is optimized for comparing sets of unbalanced size. This brings the asymptotic communication complexity of the overall protocol down from $\omega(m \secpar)$ to $O(m\secpar)$, and provides concrete performance improvements (10-15\% reduction in communication costs) over Kolesnikov et al. (CCS 2016) under real-world parameter choices. Our protocol is simple, generic and benefits from the permutation-hashing optimizations of Pinkas et al. (USENIX 2015) and the Batched, Relaxed Oblivious Pseudo Random Functions of Kolesnikov et al. (CCS 2016).

Homomorphic universally composable (UC) commitments allow for the sender to reveal the result of additions and multiplications of values contained in commitments without revealing the values themselves while assuring the receiver of the correctness of such computation on committed values. In this work, we construct essentially optimal additively homomorphic UC commitments from any (not necessarily UC or homomorphic) extractable commitment. We obtain amortized linear computational complexity in the length of the input messages and rate 1. Next, we show how to extend our scheme to also obtain multiplicative homomorphism at the cost of asymptotic optimality but retaining low concrete complexity for practical parameters. While the previously best constructions use UC oblivious transfer as the main building block, our constructions only require extractable commitments and PRGs, achieving better concrete efficiency and offering new insights into the sufficient conditions for obtaining homomorphic UC commitments. Moreover, our techniques yield public coin protocols, which are compatible with the Fiat-Shamir heuristic. These results come at the cost of realizing a restricted version of the homomorphic commitment functionality where the sender is allowed to perform any number of commitments and operations on committed messages but is only allowed to perform a single batch opening of a number of commitments. Although this functionality seems restrictive, we show that it can be used as a building block for more efficient instantiations of recent protocols for secure multiparty computation and zero knowledge non-interactive arguments of knowledge.

We suggest new applications of protocols of Non-commutative cryptography defined in terms of subsemigroups of Affine Cremona Semigroups over finite commutative rings and their homomorphic images to the constructions of possible instruments of Post Quantum Cryptography. This approach allows to define cryptosystems which are not public keys. When extended protocol is finished correspondents have the collision multivariate transformation on affine space K ^n or variety (K*)^n where K is a finite commutative ring and K* is nontrivial multiplicative subgroup of K . The security of such protocol rests on the complexity of word problem to decompose element of Affine Cremona Semigroup given in its standard form into composition of given generators. The collision map can serve for the safe delivery of several bijective multivariate maps F_i (generators) on K^n (or (K*)^n) from one correspondent to another. So asymmetric cryptosystem with nonpublic multivariate generators where one side (Alice) knows inverses of F_i but other does not have such a knowledge is possible. We consider the usage of single protocol or combinations of two protocols with platforms of different nature. The usage of two protocols with the collision spaces K^n and (K*)^n allows safe delivery of two sets of generators of different nature. In terms of such sets we define an asymmetric encryption scheme with the plainspace (K*)^n, cipherspace K^n and multivariate non-bijective encryption map of unbounded degree O(n) and polynomial density on K^n with injective restriction on (K*)^n. Algebraic cryptanalysis faces the problem to interpolate a natural decryption transformation which is not a map of polynomial density.

We introduce CHURP (CHUrn-Robust Proactive secret sharing). CHURP enables secure secret-sharing in dynamic settings, where the committee of nodes storing a secret changes over time. Designed for blockchains, CHURP has lower communication complexity than previous schemes: $O(n)$ on-chain and $O(n^2)$ off-chain in the optimistic case of no node failures. CHURP includes several technical innovations: An efficient new proactivization scheme of independent interest, a technique (using asymmetric bivariate polynomials) for efficiently changing secret-sharing thresholds, and a hedge against setup failures in an efficient polynomial commitment scheme. We also introduce a general new technique for inexpensive off-chain communication across the peer-to-peer networks of permissionless blockchains. We formally prove the security of CHURP, report on an implementation, and present performance measurements.

Biometric authentication is increasingly being used for large scale human authentication and identification, creating the risk of leaking the biometric secrets of millions of users in the case of database compromise. Powerful ``fuzzy'' cryptographic techniques for biometric template protection, such as secure sketches, could help in principle, but go unused in practice. This is because they would require new biometric matching algorithms with potentially much-diminished accuracy. We introduce a new primitive called a multisketch that generalizes secure sketches. Multisketches can work with existing biometric matching algorithms to generate strong cryptographic keys from biometric data reliably. A multisketch works on a biometric database containing multiple biometrics --- e.g., multiple fingerprints --- of a moderately large population of users (say, thousands). It conceals the correspondence between users and their biometric templates, preventing an attacker from learning the biometric data of a user in the advent of a breach, but enabling derivation of user-specific secret keys upon successful user authentication. We design a multisketch over tenprints --- fingerprints of ten fingers --- called TenSketch. We report on a prototype implementation of TenSketch, showing its feasibility in practice. We explore several possible attacks against TenSketch database and show, via simulations with real tenprint datasets, that an attacker must perform a large amount of computation to learn any meaningful information from a stolen TenSketch database.

Sorting on encrypted data using Somewhat Homomorphic Encryption (SHE) schemes is currently inefficient in practice when the number of elements to be sorted is very large. Hence alternate protocols that can efficiently perform computation and sorting on encrypted data is of interest. Recently, Kesarwani et al. (EDBT 2018) proposed a protocol for efficient sorting on data encrypted using an SHE scheme in a model where one of the two non-colluding servers is holding the decryption key. The encrypted data to be sorted is transformed homomorphically by the first server using a randomly chosen monotonic polynomial with possibly large coefficients, and then the non-colluding server holding the decryption key decrypts, sorts, and conveys back the sorted order to the first server without learning the actual values except possibly for the order. In this work we demonstrate an attack on the above protocol that allows the non-colluding server holding the decryption key to recover the original plaintext inputs (up to a constant difference). Though our attack runs in time exponential in the size of plaintext inputs and degree of the polynomial but polynomial in the size of coefficients, we show that our attack is feasible for 32-bit inputs, hence accounting for several real world scenarios. Of independent interest is our algorithm for recovering the integer inputs (up to a constant difference) by observing only the integer polynomial outputs.

We introduce a Quantum Key Recycling (QKR) protocol that needs no classical communication from Alice to Bob. Alice sends only a cipherstate, which consists of qubits that are individually measured by Bob. Bob merely has to respond with an authenticated one-bit accept/reject classical message. Compared to Quantum Key Distribution (QKD), QKR has reduced round complexity. Compared to other qubit-wise QKR protocols, our scheme has far less classical communication. We provide a security proof in the universal composability framework and find that the communication rate is asymptotically the same as for QKD with one-way postprocessing.

We show how to construct maliciously secure oblivious transfer (M-OT) from a strengthening of key agreement (KA) which we call *strongly uniform* KA (SU-KA), where the latter roughly means that the messages sent by one party are computationally close to uniform, even if the other party is malicious. Our transformation is black-box, almost round preserving (adding only a constant overhead of up to two rounds), and achieves standard simulation-based security in the plain model. As we show, 2-round SU-KA can be realized from cryptographic assumptions such as low-noise LPN, high-noise LWE, Subset Sum, DDH, CDH and RSA---all with polynomial hardness---thus yielding a black-box construction of fully-simulatable, round-optimal, M-OT from the same set of assumptions (some of which were not known before).

Conventional (M, N )-threshold signature schemes leave users with a painful choice. Setting M = N offers maximum resistance to key compromise. With this choice, though, loss of a single key renders the signing capability unavailable, creating paralysis in systems that use signatures for access control. Lower M improves availability, but at the expense of security. For example, (3, 3)-multisig wallet experiences access-control paralysis upon loss of a single key, but a (2, 3)-multisig allows any two players to collude and steal funds from the third. In this paper, we introduce techniques that address this impasse by making general cryptographic access structures dynamic. Our schemes permit, e.g., a (3, 3)-multisig, to be downgraded to a (2, 3)- multisig if a player goes missing. This downgrading is secure in the sense that it occurs only if a player is provably unavailable. Our main tool is what we call a Paralysis Proof, evidence that play- ers, i.e., key holders, are unavailable or incapacitated. Using Paraly- sis Proofs, we show how to construct a Dynamic Access Structure System, which can securely and flexibly update target access struc- tures without a trusted third party such as a system administrator. We present DASS constructions that combine a trust anchor (a trusted execution environment or smart contract) with a censorship- resistant channel in the form of a blockchain. We offer a formal framework for specifying DASS policies, and define and show how to achieve critical security and usability properties (safety, liveness, and paralysis-freeness) in a DASS. Paralysis Proofs can help address pervasive key-management chal- lenges in many different settings. We present DASS schemes for three important example use cases: recovery of cryptocurrency funds should players become unavailable, returning funds to users when cryptocurrency custodians fail, and remediating critical smart- contract failures such as frozen funds. We report on practical im- plementations for Bitcoin and Ethereum.

We address the problem of speeding up isogeny computation for supersingular elliptic curves over finite fields using untrusted computational resources like third party servers or cloud service providers (CSPs). We first propose new, efficient and secure delegation schemes. This especially enables resource-constrained devices (e.g. smart cards, RFID tags, tiny sensor nodes) to effectively deploy post-quantum isogeny-based cryptographic protocols. To the best of our knowledge, these new schemes are the first attempt to generalize the classical secure delegation schemes for group exponentiations and pairing computation to an isogeny-based post-quantum setting. Then, we apply these secure delegation subroutines to improve the performance of supersingular isogeny-based zero-knowledge proofs of identity. Our experimental results show that, at the 128&#8722;bit quantum-security level, the proving party only needs about 3% of the original protocol cost, while the verifying party’s effort is fully reduced to comparison operations. Lastly, we also apply our delegation schemes to decrease the computational cost of the decryption step for the NIST postquantum standardization candidate SIKE.

A private PEZ protocol is a variant of secure multi-party computation performed using a (long) PEZ dispenser. The original paper by Balogh et al. presented a private PEZ protocol for computing an arbitrary function with n inputs. This result is interesting, but no follow-up work has been presented since then, to the best of our knowledge. We show herein that it is possible to shorten the initial string (the sequence of candies filled in a PEZ dispenser) and the number of moves (a player pops out a specified number of candies in each move) drastically if the function is symmetric. Concretely, it turns out that the length of the initial string is reduced from O((2^n)!) for general functions in Balogh et al.'s results to O(n * n!) for symmetric functions, and 2^n moves for general functions are reduced to n^2 moves for symmetric functions. Our main idea is to utilize the recursive structure of symmetric functions to construct the protocol recursively. This idea originates from a new initial string we found for a private PEZ protocol for the three-input majority function, which is different from the one with the same length given by Balogh et al. without describing how they derived it.

Oblivious RAM (ORAM) is a cryptographic primitive that allows a client to hide access pattern to its data encrypted and stored at a remote server. Traditionally, ORAM algorithms assume the server acts purely as a storage device. Under this assumption, ORAM has at least $\log(N)$ bandwidth blowup for $N$ data entries. After three decades of improvements, ORAM algorithms have reached the optimal logarithmic bandwidth blowup. Nonetheless, in many practical use-cases, a constant bandwidth overhead is desirable. To this purpose, Devadas et al. (TCC 2016) formalized the server computation model for ORAM and proposed Onion ORAMwhich relies on homomorphic computation to achieve constant worst-case bandwidth blowup. This line of work is generally believed to be purely theoretical, due to the large overheads of homomorphic computation. In this paper, we present Onion Ring ORAM, the first efficient constant bandwidth ORAM scheme in the single server model, based on the Onion ORAM construction and the leveled version of the TFHE scheme by Chillotti et al.. We propose a series of improvements, most notably including a more efficient homomorphic permutation protocol. We implement Onion Ring ORAM and show that it can outperform state-of-the-art logarithmic-bandwidth ORAM like Path ORAMs and Ring ORAM when the network throughput is limited. Under one setting, our construction reduces monetary cost per access by 40\% and end-to-end latency by 35\% over Ring ORAM.

We study the possibility of achieving full security, with guaranteed output delivery, for secure multiparty computation of functionalities where only one party receives output, to which we refer as solitary functionalities. In the standard setting where all parties receive an output, full security typically requires an honest majority; otherwise even just achieving fairness is impossible. However, for solitary functionalities, fairness is clearly not an issue. This raises the following question: Is full security with no honest majority possible for all solitary functionalities? We give a negative answer to this question, by showing the existence of solitary functionalities that cannot be computed with full security. While such a result cannot be proved using fairness based arguments, our proof builds on the classical proof technique of Cleve (STOC 1986) for ruling out fair coin-tossing and extends it in a nontrivial way. On the positive side, we show that full security against any number of malicious parties is achievable for many natural and useful solitary functionalities, including ones for which the multi-output version cannot be realized with full security.

We examine all of the signature submissions to Round-2 of the NIST PQC ``competition'' in the context of whether one can transform them into threshold signature schemes in a relatively straight forward manner. We conclude that all schemes, except the ones in the MQ family, have significant issues when one wishes to convert them using relatively generic MPC techniques. The lattice based schemes are hampered by requiring a mix of operations which are suited to both linear secret shared schemes (LSSS)- and garbled circuits (GC)-based MPC techniques (thus requiring costly transfers between the two paradigms). The Picnic and SPHINCS+ algorithms are hampered by the need to compute a large number of hash function queries on secret data. Of the nine submissions the two which would appear to be most suitable for using in a threshold like manner are Rainbow and LUOV, with LUOV requiring less rounds and less data storage.

Dynamic Searchable Symmetric Encryption (DSSE) enables a client to perform updates and searches on encrypted data which makes it very useful in practice. To protect DSSE from the leakage of updates (leading to break query or data privacy), two new security notions, forward and backward privacy, have been proposed recently. Although extensive attention has been paid to forward privacy, this is not the case for backward privacy. Backward privacy, first formally introduced by Bost et al., is classified into three types from weak to strong, exactly Type-III to Type-I. To the best of our knowledge, however, no practical DSSE schemes without trusted hardware (e.g. SGX) have been proposed so far, in terms of the strong backward privacy and constant roundtrips between the client and the server. In this work, we present a new DSSE scheme by leveraging simple symmetric encryption with homomorphic addition and bitmap index. The new scheme can achieve both forward and backward privacy with one roundtrip. In particular, the backward privacy we achieve in our scheme (denoted by Type-I$^-$) is somewhat stronger than Type-I. Moreover, our scheme is very practical as it involves only lightweight cryptographic operations. To make it scalable for supporting billions of files, we further extend it to a multi-block setting. Finally, we give the corresponding security proofs and experimental evaluation which demonstrate both security and practicality of our schemes, respectively.

The Holy Grail of a decentralised stablecoin is achieved on rigorous mathematical frameworks, obtaining multiple advantageous proofs: stability, convergence, truthfulness, faithfulness, and malicious-security. These properties could only be attained by the novel and interdisciplinary combination of previously unrelated fields: model predictive control, deep learning, alternating direction method of multipliers (consensus-ADMM), mechanism design, secure multi-party computation, and zero-knowledge proofs. For the first time, this paper proves: - the feasibility of decentralising the central bank while securely preserving its independence in a decentralised computation setting - the benefits for price stability of combining mechanism design, provable security, and control theory, unlike the heuristics of previous stablecoins - the implementation of complex monetary policies on a stablecoin, equivalent to the ones used by central banks and beyond the current fixed rules of cryptocurrencies that hinder their price stability - methods to circumvent the impossibilities of Guaranteed Output Delivery (G.O.D.) and fairness: standing on truthfulness and faithfulness, we reach G.O.D. and fairness under the assumption of rational parties As a corollary, a decentralised artificial intelligence is able to conduct the monetary policy of a stablecoin, minimising human intervention.

Bluetooth is a widely deployed standard for wireless communications between mobile devices. It uses authenticated Elliptic Curve Diffie-Hellman for its key exchange. In this paper we show that the authentication provided by the Bluetooth pairing protocols is insufficient and does not provide the promised MitM protection. We present a new attack that modifies the y-coordinates of the public keys (while preserving the x-coordinates). The attack compromises the encryption keys of all of the current Bluetooth authenticated pairing protocols, provided both paired devices are vulnerable. Specifically, it successfully compromises the encryption keys of 50% of the Bluetooth pairing attempts, while in the other 50% the pairing of the victims is terminated. The affected vendors have been informed and patched their products accordingly, and the Bluetooth specification had been modified to address the new attack. We named our new attack the “Fixed Coordinate Invalid Curve Attack”. Unlike the well known “Invalid Curve Attack” of Biehl et. al. which recovers the private key by sending multiple specially crafted points to the victim, our attack is a MitM attack which modifies the public keys in a way that lets the attacker deduce the shared secret.

We present a machine-checked proof of security for the domain management protocol of Amazon Web Services' KMS (Key Management Service) a critical security service used throughout AWS and by AWS customers. Domain management is at the core of AWS KMS; it governs the top-level keys that anchor the security of encryption services at AWS. We show that the protocol securely implements an ideal distributed encryption mechanism under standard cryptographic assumptions. The proof is machine-checked in the EasyCrypt proof assistant and is the largest EasyCrypt development to date.

Vehicular Ad-hoc Networks (VANETs) are a cardinal part of intelligent transportation system (ITS) which render various services in terms of traffic and transport management. The VANET is used to manage growing traffic and manage data about traffic conditions, weather, road conditions, speed of the vehicle, etc. Even though, VANETs are self-sufficient and effective networks but they still suffer from various security and privacy issues. VANETs need to ensure that an adversary should not be able to breach user associated data and delete or modify the exchanged messages for its gains, as these messages comprise of sensitive data. In this paper, we have proposed an authentication and key-agreement protocol based on cryptographic hash functions which makes it lightweight in nature and also suitable for VANET environment. Moreover, to enhance the security and reliability of the entire system, the proposed key-agreement protocol makes use of random session modulus to compute a dynamic session key i.e. for every session, vehicles generate their session specific secret modulus which are then converged to form a common group session key. The formal verification of the proposed work is done using Real - or - Random oracle model, AVISPA and BAN Logic while informal security analysis shows that the proposed protocol can withstand various attacks. The simulation results and analysis prove that the proposed work is efficient and has a real-time application in VANET environment.

With the burgeoning Vehicle-to-Everything (V2X) communication, security and privacy concerns are paramount. Such concerns are usually mitigated by combining cryptographic mechanisms with suitable key management architecture. However, cryptographic operations may be quite resource-intensive, placing a considerable burden on the vehicle’s V2X computing unit. To assuage this issue, it is reasonable to use hardware acceleration for common cryptographic primitives, such as block ciphers, digital signature schemes, and key exchange protocols. In this scenario, custom extension instructions can be a plausible option, since they achieve fine-tune hardware acceleration with a low to moderate logic overhead, while also reducing code size. In this article, we apply this method along with dual-data memory banks for the hardware acceleration of the PRESENT block cipher, as well as for the $F_{2^{255}-19}$ finite field arithmetic employed in cryptographic primitives based on Curve25519 (e.g., EdDSA and X25519). As a result, when compared with a state-of-the-art software-optimized implementation, the performance of PRESENT is improved by a factor of 17 to 34 and code size is reduced by 70%, with only a 4.37% increase in FPGA logic overhead. In addition, we improve the performance of operations over Curve25519 by a factor of ~2.5 when compared to an Assembly implementation on a comparable processor, with moderate logic overhead (namely, 9.1%). Finally, we achieve significant performance gains in the V2X provisioning process by leveraging our hardware-accelerated cryptographic primitives

We consider recent constructions of $1$-out-of-$N$ OT-extension from Kolesnikov and Kumaresan (CRYPTO 2013) and from Orrú et al. (CT-RSA 2017), based on binary error-correcting codes. We generalize their constructions such that $q$-ary codes can be used for any prime power $q$. This allows to reduce the number of base $1$-out-of-$2$ OT's that are needed to instantiate the construction for any value of $N$, at the cost of increasing the complexity of the remaining part of the protocol. We analyze these trade-offs in some concrete cases.

Broken cryptographic algorithms and hardness assumptions are a constant threat to real-world protocols. Prominent examples are hash functions for which collisions become known, or number-theoretic assumptions which are threatened by advances in quantum computing. Especially when it comes to key exchange protocols, the switch to quantum-resistant primitives has begun and aims to protect today's secrets against future developments, moving from common Diffie-Hellman-based solutions to Learning-With-Errors-based approaches, often via intermediate hybrid designs. To this date there exists no security notion for key exchange protocols that could capture the scenario of breakdowns of arbitrary cryptographic primitives to argue security of prior or even ongoing and future sessions. In this work we extend the common Bellare-Rogaway model to capture breakdown resilience of key exchange protocols. Our extended model allows us to study security of a protocol even in case of unexpected failure of employed primitives, may it be number-theoretic assumptions, hash functions, signature schemes, key derivation functions, etc. We then apply our security model to analyze two real-world protocols, showing that breakdown resilience for certain primitives is achieved by both an authenticated variant of the post-quantum secure key encapsulation mechanism NewHope (Alkim et al.) which is a second round candidate in the Post Quantum Cryptography standardization process by NIST, as well as by TLS 1.3, which has recently been standardized as RFC 8446 by the Internet Engineering Task Force. Finally, we analyze the security of a generic hybrid key exchange protocol, formally showing how such designs ensure resilience against breakdowns of one of their key exchange components.

Despite their usage of pseudonyms rather than persistent identifiers, most existing cryptocurrencies do not provide users with any meaningful levels of privacy. This has prompted the creation of privacy-enhanced cryptocurrencies such as Monero and Zcash, which are specifically designed to counteract the tracking analysis possible in currencies like Bitcoin. These cryptocurrencies, however, also suffer from some drawbacks: in both Monero and Zcash, the set of potential unspent coins is always growing, which means users cannot store a concise representation of the blockchain. Additionally, Zcash requires a common reference string and the fact that addresses are reused multiple times in Monero has led to attacks to its anonymity. In this paper we propose a new design for anonymous cryptocurrencies, Quisquis, that achieves provably secure notions of anonymity. Quisquis stores a relatively small amount of data, does not require trusted setup, and in Quisquis each address appears on the blockchain at most twice: once when it is generated as output of a transaction, and once when it is spent as input to a transaction. Our result is achieved by combining a DDH-based tool (that we call updatable keys) with efficient zero-knowledge arguments.

Advancements in deep learning enable cloud servers to provide inference-as-a-service for clients. In this scenario, clients send their raw data to the server to run the deep learning model and send back the results. One standing challenge in this setting is to ensure the privacy of the clients' sensitive data. Oblivious inference is the task of running the neural network on the client's input without disclosing the input or the result to the server. This paper introduces XONN, a novel end-to-end framework based on Yao's Garbled Circuits (GC) protocol, that provides a paradigm shift in the conceptual and practical realization of oblivious inference. In XONN, the costly matrix-multiplication operations of the deep learning model are replaced with XNOR operations that are essentially free in GC. We further provide a novel algorithm that customizes the neural network such that the runtime of the GC protocol is minimized without sacrificing the inference accuracy. We design a user-friendly high-level API for XONN, allowing expression of the deep learning model architecture in an unprecedented level of abstraction. We further provide a compiler to translate the model description from high-level Python (i.e., Keras) to that of XONN. Extensive proof-of-concept evaluation on various neural network architectures demonstrates that XONN outperforms prior art such as Gazelle (USENIX Security'18) by up to 7×, MiniONN (ACM CCS'17) by 93×, and SecureML (IEEE S&P'17) by 37×. State-of-the-art frameworks require one round of interaction between the client and the server for each layer of the neural network, whereas, XONN requires a constant round of interactions for any number of layers in the model. XONN is first to perform oblivious inference on Fitnet architectures with up to 21 layers, suggesting a new level of scalability compared with state-of-the-art. Moreover, we evaluate XONN on four datasets to perform privacy-preserving medical diagnosis. The datasets include breast cancer, diabetes, liver disease, and Malaria.

Following up mass surveillance and privacy issues, modern secure communication protocols now seek more security such as forward secrecy and post-compromise security. They cannot rely on an assumption such as synchronization, predictable sender/receiver roles, or online availability. Ratcheting was introduced to address forward secrecy and post-compromise security in real-world messaging protocols. At CSF 2016 and CRYPTO 2017, ratcheting was studied either without zero round-trip time (0-RTT) or without bidirectional communication. At CRYPTO 2018, ratcheting with bidirectional communication was done using heavy key-update primitives. At EUROCRYPT 2019, another protocol was proposed. All those protocols use random oracles. Furthermore, exchanging $n$ messages has complexity $O(n^2)$. In this work, we define the bidirectional asynchronous ratcheted key agreement (BARK) with formal security notions. We provide a simple security model and design a secure BARK scheme using no key-update primitives, no random oracle, and with $O(n)$ complexity. It is based on a cryptosystem, a signature scheme, one-time symmetric encryption, and a collision-resistant hash function family. We further show that BARK (even unidirectional) implies public-key cryptography, meaning that it cannot solely rely on symmetric cryptography.

Multi-proxy multi-signature schemes are useful in distributed networks, where a group of users cooperatively could delegate their administrative rights to the users of another group, who are authorized to generate the proxy signatures cooperatively on behalf of the original signers. In this paper, we aim to propose an ID-based lattice-based multi-proxy multi-signature (ILMPMS) scheme, which enjoys security against quantum computers and efficiency due to ID-based framework, linear operations and possibility of parallel computations based on lattices. For this purpose, we first propose an ID-based lattice-based multi-signature scheme, used as the underlying signature in our ILMPMS scheme. We prove existential unforgeability of both schemes against adaptive chosen-message attack in the random oracle model based on the hardness of the learning with errors problem over standard lattices.

We introduce novel efficient and transparent construction of the polynomial commitment scheme. A polynomial commitment scheme allows one side (the prover) to commit to a polynomial of predefined degree $d$ with a string that can be later used by another side (the verifier) to confirm claimed evaluations of the committed polynomial at specific points. Efficiency means that communication costs of interaction between prover and verifier during the protocol are very small compared to sending the whole committed polynomial itself, and is polylogarithmic in our case. Transparency means that our scheme doesn't require any preliminary trusted setup ceremony. We explicitly state that our polynomial commitment scheme is not hiding, although zero knowledge can be achieved at the application level in most of the cases.

Code-based cryptography has a long history but did suffer from periods of slow development. The field has recently attracted a lot of attention as one of the major branches of post-quantum cryptography. However, its subfield of privacy-preserving cryptographic constructions is still rather underdeveloped, e.g., important building blocks such as zero-knowledge range proofs and set membership proofs, and even proofs of knowledge of a hash preimage, have not been known under code-based assumptions. Moreover, almost no substantial technical development has been introduced in the last several years. This work introduces several new code-based privacy-preserving cryptographic constructions that considerably advance the state-of-the-art in code-based cryptography. Specifically, we present $3$ major contributions, each of which potentially yields various other applications. Our first contribution is a code-based statistically hiding and computationally binding commitment scheme with companion zero-knowledge (ZK) argument of knowledge of a valid opening that can be easily extended to prove that the committed bits satisfy other relations. Our second contribution is the first code-based zero-knowledge range argument for committed values, with communication cost logarithmic in the size of the range. A special feature of our range argument is that, while previous works on range proofs/arguments (in all branches of cryptography) only address ranges of non-negative integers, our protocol can handle signed fractional numbers, and hence, can potentially find a larger scope of applications. Our third contribution is the first code-based Merkle-tree accumulator supported by ZK argument of membership, which has been known to enable various interesting applications. In particular, it allows us to obtain the first code-based ring signatures and group signatures with logarithmic signature sizes.

Mix-nets constructed from homomorphic cryptosystems can be generalized to process lists of ciphertexts as units and use different public keys for different parts of such lists. We present a number of blackbox constructions that enriches the set of operations provided by such mix-nets. The constructions are simple, fully practical, and eliminates the need for some specialized protocols.

In the area of cloud computing, judging the fulfillment of service-level agreements on a technical level is gaining more and more importance. To support this we introduce privacy preserving set relations as inclusiveness and disjointness based on Bloom filters. We propose to compose them in a slightly different way by applying a keyed hash function. Besides discussing the correctness of the set relations, we analyze how this impacts the privacy of the sets content as well as providing privacy on the sets cardinality. Indeed, our solution proposes to bring another layer of privacy on the sizes. We are in particular interested how the overlapping bits of a Bloom filter impact the privacy level of our approach. We concretely apply our solution to a use case of cloud security audit on access control and present our results with real-world parameters.

We present a new efficient protocol for computing private set union (PSU). Here two semi-honest parties, each holding a dataset of known size (or of a known upper bound), wish to compute the union of their sets without revealing anything else to either party. Our protocol is in the OT hybrid model. Beyond OT extension, it is fully based on symmetric-key primitives. We motivate the PSU primitive by its direct application to network security and other areas. At the technical core of our PSU construction is the reverse private membership test RPMT protocol. In RPMT, the sender with input $x^*$ interacts with a receiver holding a set $X$. As a result, the receiver learns (only) the bit indicating whether $x^*$ is in $X$, while the sender learns nothing about the set $X$. (Previous similar protocols provide output to the opposite party, hence the term "reverse'' private membership.) We believe our RPMT abstraction and constructions may be a building block in other applications as well. We demonstrate the practicality of our proposed protocol with an implementation. For input sets of size $2^{20}$ and using a single thread, our protocol requires 238 seconds to securely compute the set union, regardless of the bit length of the items. Our protocol is amenable to parallelization. Increasing the number of threads from 1 to 32, our protocol requires only 13.1 seconds, a factor of $18.25 \times$ improvement. To the best of our knowledge, ours is the first protocol that reports on large-size experiments, makes code available, and avoids extensive use of computationally expensive public-key operations. (No PSU code is publicly available for prior work, and the only prior symmetric-key-based work reports on small experiments and focuses on the simpler 3-party, 1-corruption setting.)Our work improves reported PSU state of the art by factor up to $7,600\times$ for large instances.

Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as a valuable tool for verifiable computation and privacy preserving protocols. Currently practical schemes require a common reference string (CRS) to be constructed in a one-time setup for each statement. Ben-Sasson, Chiesa, Green, Tromer and Virza devised a multi-party protocol to securely compute such a CRS, and an adaptation of this protocol was used to construct the CRS for the Zcash cryptocurrency. The scalability of these protocols is obstructed by the need for a "precommitment round" which forces participants to be defined in advance and requires them to secure their secret randomness throughout the duration of the protocol. Our primary contribution is a more scalable multi-party computation (MPC) protocol, secure in the random beacon model, which omits the precommitment round. We show that security holds even if an adversary has limited influence on the beacon. Next, we apply our main result to obtain a two-round protocol for computing an extended version of the CRS of Groth's SNARK. We show that knowledge soundness is maintained in the generic group model when using this CRS. We also contribute a more secure pairing-friendly elliptic curve construction and implementation, tuned for use in zk-SNARKs, in light of recent optimizations to the Number Field Sieve algorithm which reduced the security estimates of existing pairing-friendly curves used in zk-SNARK applications.

We design a suite of protocols so that a small tamper-resistant device can be used as a biometric identity document which can be scanned by authorized terminals. We target both strongly secure identification and strong privacy. Unlike biometric passports, our protocols leak no digital evidence and are essentially deniable. Besides, getting the identity information from the device requires going through access control. Access control can follow either a strong PKI-based path or a weak password-based path which offer different functionalities. We implemented our protocols on JavaCard using finger-vein recognition as a proof of concept.

A new hash-based, server-supported digital signature scheme was proposed recently. We decompose the concept into forward-resistant tags and a generic cryptographic time-stamping service. Based on the decomposition, we propose more tag constructions which allow efficient digital signature schemes with interesting properties to be built. In particular, the new schemes are more suitable for use in personal signing devices, such as smart cards, which are used infrequently. We define the forward-resistant tags formally and prove that (1) the discussed constructs are indeed tags and (2) combining such tags with time-stamping services gives us signature schemes.

Federated Learning (FL) enables a large number of users to jointly learn a shared machine learning (ML) model, coordinated by a centralized server, where the data is distributed across multiple devices. This approach enables the server or users to train and learn an ML model using gradient descent, while keeping all the training data on users' devices. We consider training an ML model over a mobile network where user dropout is a common phenomenon. Although federated learning was aimed at reducing data privacy risks, the ML model privacy has not received much attention. In this work, we present PrivFL, a privacy-preserving system for training (predictive) linear and logistic regression models and oblivious predictions in the federated setting, while guaranteeing data and model privacy as well as ensuring robustness to users dropping out in the network. We design two privacy-preserving protocols for training linear and logistic regression models based on an additive homomorphic encryption (HE) scheme and an aggregation protocol. Exploiting the training algorithm of federated learning, at the core of our training protocols is a secure multiparty global gradient computation on alive users' data. We analyze the security of our training protocols against semi-honest adversaries. As long as the aggregation protocol is secure under the aggregation privacy game and the additive HE scheme is semantically secure, PrivFL guarantees the users' data privacy against the server, and the server's regression model privacy against the users. We demonstrate the performance of PrivFL on real-world datasets and show its applicability in the federated learning system.

We present a new 4-move special honest-verifier zero-knowledge proof of knowledge system for proving that a vector of Pedersen commitments opens to a so-called "one-hot" vector (i.e., to a vector from the standard orthonormal basis) from $\mathbb{Z}_p^n$. The need for such proofs arises in the contexts of symmetric private information retrieval (SPIR), end-to-end verifiable voting (E2E), and privacy-preserving data aggregation and analytics, among others. The key insight underlying the new protocol is a simple observation regarding the paucity of roots of polynomials of bounded degree over a finite field. The new protocol is fast and yields succinct proofs: For vectors of length $n$, the prover evaluates $\Theta(\lg{n})$ group operations plus $\Theta(n)$ field operations and sends just $\Theta(\lg{n})$ group and field elements, while the verifier evaluates one $n$-base multiexponentiation plus $\Theta(\lg{n})$ additional group operations and sends just $2(\lambda+\lg{n})$ bits to obtain a soundness error less than $2^{-\lambda}$. (A 5-move variant of the protocol reduces prover upload to just $2\lambda+\lg{n}$ bits for the same soundness error.) We have implemented both our new protocol and its closest competitors from the literature; in accordance with our analytic results, experiments confirm that the new protocols handily outperform existing protocols for all but the shortest of vectors (roughly, for vectors with more than 16-32 elements).

While fair exchange of goods is known to be impossible without assuming a trusted party, smart contracts in cryptocurrencies forgo such parties by assuming trust in the currency system. They allow a seller to sell a digital good, which the buyer will obtain if and only if she pays. Zero-knowledge contingent payments (zkCP) show that, despite the limited expressiveness of its scripting language, this is even possible in Bitcoin by using zero-knowledge proofs. At CCS'17, Campanelli, Gennaro, Goldfeder and Nizzardo showed that the zkCP protocol was flawed, in that the buyer could obtain information about the good without paying. They proposed countermeasures to repair zkCP and moreover observed that zkCP cannot be used when a service is sold. They introduce the notion of ZK contingent payments for services and give an instantiation based on a witness-indistinguishable (WI) proof system. We show that the main countermeasures they proposed are not sufficient and present an attack against their fixed zkCP scheme. We also show that their realization of zkCP for services is insecure, as the buyer could learn the desired information (i.e., whether the service was provided) without paying; in particular, we show that WI of the used proof system is not enough.

In this work, we advance the conceptual and technical aspects of Secure Multiparty Computation (SMC). We approach SMC as a computational problem and propose a novel formulation of this problem in terms of trust boundaries. From this formulation, we derive a general framework that enables a more comprehensive characterization of both the SMC problem and its solutions. Existing SMC solutions are commonly seen as diametrically different and incompatible, but we show how they can be mapped to particular instances of our framework, hence enabling their analysis under a common and unified basis. In this framework, the core component of an SMC solution is a distributed homomorphic cryptosystem. We show that the features this cryptosystem provides determine the need for interaction and overall efficiency of the corresponding SMC solutions. Based on this analysis, we introduce a practical instantiation of our framework by proposing a distributed version of the Brakerski-Fan-Vercauteren (BFV) lattice-based homomorphic cryptosystem. We analyze the security, noise overhead, and computational costs of this scheme. Due to its conceptual simplicity and efficiency, our solution has great potential for addressing highly relevant scenarios, such as secure data-sharing and machine-learning. Hence, this work constitutes a step forward in secure computation, by enabling computation across trust boundaries.

Atomic Swap enables two parties to atomically exchange their own cryptocurrencies without trusted third parties. This paper provides the first quantitative analysis on the fairness of the Atomic Swap protocol, and proposes the first fair Atomic Swap protocol with implementations. In particular, we model the Atomic Swap as the American Call Option, and prove that an Atomic Swap is equivalent to an American Call Option without the premium. Thus, the Atomic Swap is unfair to the swap participant. Then, we quantify the fairness of the Atomic Swap and compare it with that of conventional financial assets (stocks and fiat currencies). The quantification results show that the the Atomic Swap is much more unfair on cryptocurrencies than on stocks and fiat currencies in the same setting. Moreover, we use the conventional Cox-Ross-Rubinstein option pricing model in Finance to estimate the premium, and show that the estimated premium for cryptocurrencies is 2% &#8764; 3% of the asset value, while the premium for stocks and fiat currencies is approximately 0.3%. Furthermore, we propose two fair Atomic Swap protocols, one is for currency exchange and the other is for American Call Options. Our protocols are based on the original Atomic Swap protocol, but implement the premium mechanism. Blockchains supporting smart contracts such as Ethereum support our protocols directly. Blockchains only supporting scripts such as Bitcoin can support our protocols by adding a simple opcode. Finally, we provide the reference implementation of our protocols in Solidity, and give detailed instructions on implementing our protocols with Bitcoin script.

A Simulation Extractable (SE) zk-SNARK enables a prover to prove that she knows a witness for an instance in a way that the proof: (1) is succinct and can be verified very efficiently; (2) does not leak information about the witness; (3) is simulation-extractable -an adversary cannot come out with a new valid proof unless it knows a witness, even if it has already seen arbitrary number of simulated proofs. Non-malleable succinct proofs and very efficient verification make SE zk-SNARKs an elegant tool in various privacy-preserving applications such as cryptocurrencies, smart contracts and etc. In Eurocrypt 2016, Groth proposed the most efficient pairing-based zk-SNARK in the CRS model, but its proof is vulnerable to the malleability attacks. In this paper, we show that one can efficiently achieve simulation extractability in Groth's zk-SNARK by some changes in the underlying language using an OR construction. Analysis and implementations show that in practical cases overload has minimal effects on the efficiency of original scheme which currently is the most efficient zk-SNARK. In new construction, proof size is extended with one element from $\mathbb{G}_1$, one element from $\mathbb{G}_2$, plus a bit string that totally is less than 256 bytes for 128-bit security. Its verification is dominated with 4 pairings which is the most efficient verification among current SE zk-SNARKs.

Ouroboros Praos is a proof of stake based blockchain protocol. One of its security assumptions is parties are synchronized i.e., all of them knows when the protocol passes a new state. However, it is not easy to have such a protocol in real life, especially in a decentralized network. Therefore, we construct a new version of Ouroboros Praos by composing a new protocol called Relative Time protocol. We call the new version Ouroboros Clepsydra. At the end of the relative time protocol, a party learns the approximate state of the protocol based on the median of arrival times of messages sent by the other parties and adjusts its local clock based on it. The relative time protocol does not add any new computation to the other parties. They even do not realize that they are part of the relative time protocol. In order to prove Ouroboros Clepsydrain the Universally Composable (UC) model, we define a general UC model to capture the notion of relative time. We remove the synchronization assumption in Ouroboros Clepsydra and show that Ouroboros Clepsydra is a secure proof of stake blockchain protocol in the UC model.

The specification of Bluetooth and Bluetooth Low Energy includes dedicated encryption key negotiation protocols used by two parties to agree on the entropy of encryption keys. In this work, we show that an attacker can manipulate the entropy negotiation of Bluetooth and Bluetooth Low Energy to drastically reduce the encryption key space. We call our attack the Key Negotiation Of Bluetooth (KNOB) attack. In the case of Bluetooth, we demonstrate that the entropy can be reduced from 16 to 1 Byte. Such low entropy enables the attacker to easily brute force the negotiated encryption keys, decrypt the eavesdropped ciphertext, and inject valid encrypted messages in real-time. For Bluetooth Low Energy, we show that the entropy can still be downgraded from 16 to 7 Bytes, which reduces the attacker's effort to brute force the keys. We implement and evaluate the KNOB attack on 17 Bluetooth chips (e.g., Intel Broadcom, Apple, and Qualcomm) and 15 Bluetooth Low Energy devices (e.g., Lenovo, Garmin, Samsung, Xiaomi, and Fitbit). Our results demonstrate that all tested devices are vulnerable to the KNOB attack. We discuss legacy and non-legacy compliant countermeasures to neutralize or mitigate the KNOB attack.

EMV, also known as Chip and PIN, is the world-wide standard for card-based electronic payment. Its security wavers: over the past years, researchers have demonstrated various practical attacks, ranging from using stolen cards by disabling PIN verification to cloning cards by pre-computing transaction data. Most of these attacks rely on violating certain unjustified and not explicitly stated core assumptions upon which EMV is built, namely that the input device (e.g. the ATM) is trusted and all communication channels are non-interceptable. In addition, EMV lacks a comprehensive formal description of its security. In this work we give a formal model for the security of electronic payment protocols in the Universal Composability (UC) framework. A particular challenge for electronic payment is that one participant of a transaction is a human who cannot perform cryptographic operations. Our goal is twofold. First, we want to enable a transition from the iterative engineering of such protocols to using cryptographic security models to argue about a protocol’s security. Second, we establish a more realistic adversarial model for payment protocols in the presence of insecure devices and channels. We prove a set of necessary requirements for secure electronic payment with regards to our model. We then discuss the security of current payment protocols based on these results and find that most are insecure or require unrealistically strong assumptions. Finally, we give a simple payment protocol inspired by chipTAN and photoTAN and prove its security. Our model captures the security properties of electronic payment protocols with human interaction. We show how to use this to reason about necessary requirements for secure electronic payment and how to develop a protocol based on the resulting guidelines. We hope that this will facilitate the development of new protocols with well-understood security properties.