Paper 2017/317 Original: eprint.iacr.org/2017/317 ↗

Solidus: Confidential Distributed Ledger Transactions via PVORM

Ethan Cecchetti
Fan Zhang
Yan Ji
Ahmed Kosba
Ari Juels
Elaine Shi
Abstract

Blockchains and more general distributed ledgers are becoming increasingly popular as efficient, reliable, and persistent records of data and transactions. Unfortunately, they ensure reliability and correctness by making all data public, raising confidentiality concerns that eliminate many potential uses. In this paper we present Solidus, a protocol for confidential transactions on public blockchains, such as those required for asset transfers with on-chain settlement. Solidus operates in a framework based on real-world financial institutions: a modest number of banks each maintain a large number of user accounts. Within this framework, Solidus hides both transaction values and the transaction graph (i.e., the identities of transacting entities) while maintaining the public verifiability that makes blockchains so appealing. To achieve strong confidentiality of this kind, we introduce the concept of a Publicly-Verifiable Oblivious RAM Machine (PVORM). We present a set of formal security definitions for both PVORM and Solidus and show that our constructions are secure. Finally, we implement Solidus and present a set of benchmarks indicating that the system is efficient in practice.

Metadata
Available format(s)
PDF
Category
Applications
Publication info
Preprint.
History
2017-08-31: last updated
2017-04-14: published
Short URL
https://ia.cr/2017/317
License
https://creativecommons.org/licenses/by/4.0/

BibTeX

@misc{cryptoeprint:2017/317,
      author = {Ethan Cecchetti and Fan Zhang and Yan Ji and Ahmed Kosba and Ari Juels and Elaine Shi},
      title = {Solidus: Confidential Distributed Ledger Transactions via PVORM},
      howpublished = {Cryptology {ePrint} Archive, Paper 2017/317},
      year = {2017},
      url = {https://eprint.iacr.org/2017/317}
}
Note: In order to protect the privacy of readers, this archive does not use cookies or embedded third party content.