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Bureaucratic Protocols for Secure Two-Party Sorting,Selection, and Permuting

机译:安全双方分类,选择和置换的官僚协议

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In this paper, we introduce a framework for secure two-party (S2P) computations, which we call bureaucratic comput ing, and we demonstrate its efficiency by designing prac tical S2P computations for sorting, selection, and random permutation. In a nutshell, the main idea behind bureau cratic computing is to design data-oblivious algorithms that push all knowledge and influence of input values down to small black-box circuits, which are simulated using Yao's garbled paradigm. The practical benefit of this approach is that it maintains the zero-knowledge features of secure two-party computations while avoiding the significant com putational overheads that come from trying to apply Yao's garbled paradigm to anything other than simple twoinput functions.
机译:在本文中,我们向安全双方(S2P)计算介绍了一个框架,我们称之为官僚计算,我们通过设计用于分类,选择和随机排列的PRAC TICE S2P计算来展示其效率。简而言之,局呼解计算背后的主要思想是设计数据不知情的算法,将输入值的所有知识和影响推到小型黑匣子电路,这些电路通过姚明的乱码模拟。这种方法的实际好处是它保持了安全的双方计算的零知识特征,同时避免了从尝试将姚明的乱码的范例应用于简单的双普函数以外的任何东西的重要组合开销。

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