保护隐私的实用凸包协议

Youwen Zhu, Liusheng Huang, Wei Yang, Zhili Chen, Lingjun Li, Zhenshan Yu, Yonglong Luo
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引用次数: 3

摘要

安全多方计算是近二十年来密码学研究的热点问题,凸包问题是其中的一个特例。然而,精确的凸包必然会暴露所有顶点,甚至带来不公平。因此,需要实用的近似凸包。本文对凸包问题进行了总结和讨论,提出了一种更有效的计算近似凸包的新协议。在此基础上,分析了该协议的安全性、通信复杂度和效率,并通过仿真实验将其与其他隐私保护凸包协议进行了比较。结果表明,我们的隐私保护近似凸包协议比以前的隐私保护协议更有效,并且新协议在许多情况下都具有足够的实用性。良好的隐私保护和消除不公平是该方案的最大优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy-Preserving Practical Convex Hulls Protocol
Secure multi-party computation has been a hot research topic of cryptograhy for about two decades, and the convex hulls problem is a special case of it. However, the precise convex hulls will certainly expose all vertexes and even bring about unfairness. Therefore the practical approximate convex hulls are in need. In this paper, we summarize and discuss the convex hulls problem, and then we present a more effective new protocol to compute the approximate convex hulls. Furthermore, we analyze the security, communication complexity and efficiency of the protocol, and compare the new scheme with other privacy-preserving convex hulls protocols through simulated experiments. It shows that our privacy-preserving approximate convex hulls protocol is more effective than the previous privacy-preserving ones, and the new protocol is practical enough in many situations. Perfectly keeping privacy preserving and eliminating unfairness are the great advantages of our scheme.
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