MASCOT: Faster Malicious Arithmetic Secure Computation with Oblivious Transfer

Marcel Keller, Emmanuela Orsini, Peter Scholl
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引用次数: 349

Abstract

We consider the task of secure multi-party computation of arithmetic circuits over a finite field. Unlike Boolean circuits, arithmetic circuits allow natural computations on integers to be expressed easily and efficiently. In the strongest setting of malicious security with a dishonest majority --- where any number of parties may deviate arbitrarily from the protocol --- most existing protocols require expensive public-key cryptography for each multiplication in the preprocessing stage of the protocol, which leads to a high total cost. We present a new protocol that overcomes this limitation by using oblivious transfer to perform secure multiplications in general finite fields with reduced communication and computation. Our protocol is based on an arithmetic view of oblivious transfer, with careful consistency checks and other techniques to obtain malicious security at a cost of less than 6 times that of semi-honest security. We describe a highly optimized implementation together with experimental results for up to five parties. By making extensive use of parallelism and SSE instructions, we improve upon previous runtimes for MPC over arithmetic circuits by more than 200 times.
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吉祥物:更快的恶意算法安全计算与遗忘传输
研究有限域上算术电路的安全多方计算问题。与布尔电路不同,算术电路允许对整数进行自然计算,可以轻松有效地表示。在具有不诚实多数的恶意安全性的最强设置中(其中任何数量的各方都可能任意偏离协议),大多数现有协议在协议预处理阶段的每次乘法都需要昂贵的公钥加密,这导致了很高的总成本。我们提出了一种新的协议,通过使用无关传输在一般有限域中执行安全乘法,减少了通信和计算。我们的协议基于无意识传输的算术视图,通过仔细的一致性检查和其他技术,以不到半诚实安全性的6倍的代价获得恶意安全性。我们描述了一个高度优化的实现以及多达五方的实验结果。通过广泛使用并行性和SSE指令,我们将MPC在算术电路上的运行时间提高了200倍以上。
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