Paper 2023/415 Original: eprint.iacr.org/2023/415 ↗
Maximally-Fluid MPC with Guaranteed Output Delivery
Abstract
To overcome the limitations of traditional secure multi-party computation (MPC) protocols that consider a static set of participants, in a recent work, Choudhuri et al. [CRYPTO 2021] introduced a new model called Fluid MPC, which supports {\em dynamic} participants. Protocols in this model allow parties to join and leave the computation as they wish. Unfortunately, known fluid MPC protocols (even with strong honest-majority), either only achieve security with abort, or require strong computational and trusted setup assumptions. In this work, we also consider the "hardest" setting --- called the maximally-fluid model --- where each party can leave the computation after participating in a single round. We study the problem of designing maximally-fluid MPC protocols that achieve security with {guaranteed output delivery}, and obtain the following main results: 1. We design a perfectly secure maximally-fluid MPC protocol, that achieves guaranteed output delivery against unbounded adversaries who are allowed to corrupt less than a third of the parties in every round/committee. 2. For the case where the adversary is allowed to corrupt up to half of the parties in each committee, we present a new computationally secure maximally-fluid MPC protocol with guaranteed output delivery. Unlike prior works that require correlated setup and NIZKs, our construction only uses a common random string setup and is based on linearly-homomorphic equivocal commitments.
Metadata
- Available format(s)
PDF
- Category
- Cryptographic protocols
- Publication info
- Preprint.
- History
- 2023-06-10: last updated
- 2023-03-22: published
- Short URL
- https://ia.cr/2023/415
- License
- https://creativecommons.org/licenses/by/4.0/
BibTeX
@misc{cryptoeprint:2023/415,
author = {Giovanni Deligios and Aarushi Goel and Chen-Da Liu-Zhang},
title = {Maximally-Fluid MPC with Guaranteed Output Delivery},
howpublished = {Cryptology {ePrint} Archive, Paper 2023/415},
year = {2023},
url = {https://eprint.iacr.org/2023/415}
}