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Fast Optimistically Fair Cut-and-Choose 2PC

机译:快速乐观剪裁和选择2PC

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摘要

Secure two party computation (2PC) is a well-studied problem with many real world applications. Due to Cleve's result on general impossibility of fairness, however, the state-of-the-art solutions only provide security with abort. We investigate fairness for 2PC in presence of a trusted Arbiter, in an optimistic setting where the Arbiter is not involved if the parties act fairly. Existing fair solutions in this setting are by far less efficient than the fastest unfair 2PC. We close this efficiency gap by designing protocols for fair 2PC with covert and malicious security that have competitive performance with the state-of-the-art unfair constructions. In particular, our protocols only requires the exchange of a few extra messages with sizes that only depend on the output length; the Arbiter's load is independent of the computation size; and a malicious Arbiter can only break fairness, but not covert/malicious security even if he colludes with a party. Finally, our solutions are designed to work with the state-of-the-art optimizations applicable to garbled circuits and cut-and-choose 2PC such as free-XOR, half-gates, and the cheating-recovery paradigm.
机译:确保双方计算(2PC)是一个熟练的问题,许多真实的世界应用程序。由于Cleve的结果一般不可能的公平性,但最先进的解决方案仅提供了中止的安全性。我们在存在可信仲裁者的情况下调查2PC的公平性,在乐观的环境中,如果双方公平行为,则仲裁者不涉及。该环境中现有的公平解决方案比最快的2PC效率更低。我们通过使用秘密和恶意安全性的公平2PC的协议来结束这种效率差距,具有与最先进的不公平建设具有竞争性能的竞争性能。特别是,我们的协议只需要交换几个额外的消息,这些尺寸只取决于输出长度;仲裁器的负载与计算大小无关;并且,恶意仲裁者只能打破公平,但即使他与派对勾结,也不掩饰/恶意安全。最后,我们的解决方案旨在使用适用于乱码电路的最先进的优化,并切割和选择2PC,如自由XOR,半门,以及作弊恢复范式。

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