Global-Scale Secure Multiparty Computation
Xiao Wang, Samuel Ranellucci, Jonathan Katz
摘要
We propose a new, constant-round protocol for multi-party computation of boolean circuits that is secure against an arbitrary number of malicious corruptions. At a high level, we extend and generalize recent work of Wang et al. in the two-party setting. Namely, we design an efficient preprocessing phase that allows the parties to generate authenticated information; we then show how to use this information to distributively construct a single "authenticated" garbled circuit that is evaluated by one party. Our resulting protocol improves upon the state-of-the-art both asymptotically and concretely. We validate these claims via several experiments demonstrating both the efficiency and scalability of our protocol: • Efficiency: For three-party computation over a LAN, our protocol requires only 95 ms to evaluate AES. This is roughly a 700× improvement over the best prior work, and only 2.5× slower than the best known result in the two-party setting. In general, for n-party computation our protocol improves upon prior work (which was never implemented) by a factor of more than 230n, e.g., an improvement of 3 orders of magnitude for 5-party computation. • Scalability: We successfully executed our protocol with a large number of parties located all over the world, computing (for example) AES with 128 parties across 5 continents in under 3 minutes. Our work represents the largest-scale demonstration of secure computation to date.
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引用它的顶会 Paper43
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它引用的顶会 Paper5
- MASCOT: Faster Malicious Arithmetic Secure Computation with Oblivious TransferMarcel Keller, Emmanuela Orsini, Peter SchollCCS 2016 · 被引用 487 次
- High-Throughput Semi-Honest Secure Three-Party Computation with an Honest MajorityToshinori Araki, Jun Furukawa, Yehuda Lindell, Ariel Nof 等CCS 2016 · 被引用 463 次
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- Optimizing Semi-Honest Secure Multiparty Computation for the InternetAner Ben-Efraim, Yehuda Lindell, Eran OmriCCS 2016 · 被引用 96 次
- Constant Round Maliciously Secure 2PC with Function-independent Preprocessing using LEGOJesper Buus Nielsen, Thomas Schneider, Roberto TrifilettiNDSS 2017 · 被引用 57 次
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