research-article

A Framework for Constructing Fast MPC over Arithmetic Circuits with Malicious Adversaries and an Honest-Majority

Authors:

Yehuda Lindell,

Ariel NofAuthors Info & Claims

CCS '17: Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security

Pages 259 - 276

https://doi.org/10.1145/3133956.3133999

Published: 30 October 2017 Publication History

Get Access

Abstract

Protocols for secure multiparty computation enable a set of parties to compute a function of their inputs without revealing anything but the output. The security properties of the protocol must be preserved in the presence of adversarial behavior. The two classic adversary models considered are semi-honest (where the adversary follows the protocol specification but tries to learn more than allowed by examining the protocol transcript) and malicious (where the adversary may follow any arbitrary attack strategy). Protocols for semi-honest adversaries are often far more efficient, but in many cases the security guarantees are not strong enough.

In this paper, we present a new efficient method for "compiling" a large class of protocols that are secure in the presence of semi-honest adversaries into protocols that are secure in the presence of malicious adversaries. Our method assumes an honest majority (i.e., that t<n/2 where t is the number of corrupted parties and n is the number of parties overall), and is applicable to many semi-honest protocols based on secret-sharing. In order to achieve high efficiency, our protocol is secure with abort and does not achieve fairness, meaning that the adversary may receive output while the honest parties do not.

We present a number of instantiations of our compiler, and obtain protocol variants that are very efficient for both a small and large number of parties. We implemented our protocol variants and ran extensive experiments to compare them with each other. Our results show that secure computation with an honest majority can be practical, even with security in the presence of malicious adversaries. For example, we securely compute a large arithmetic circuit of depth 20 with 1,000,000 multiplication gates, in approximately 0.5 seconds with three parties, and approximately 29 seconds with 50 parties, and just under 1 minute with 90 parties.

Supplemental Material

MP4 File

Download
2699.61 MB

References

[1]

T. Araki, A. Barak, J. Furukawa, T. Lichter, Y. Lindell, A. Nof, K. Ohara, A. Watzman and O. Weinstein.Optimized Honest-Majority MPC for Malicious Adversaries - Breaking the 1 Billion-Gate Per Second Barrier. In the 38th IEEE Symposium on Security and Privacy, pages 843--862, 2017.

Abstract

Supplemental Material

References

Cited By

Index Terms

Recommendations

Two-Thirds Honest-Majority MPC for Malicious Adversaries at Almost the Cost of Semi-Honest

Fast Large-Scale Honest-Majority MPC for Malicious Adversaries

Fast Large-Scale Honest-Majority MPC for Malicious Adversaries

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations