星型拓扑中基于比较的MPC

G. Chandran, Carmit Hazay, Robin Hundt, Thomas Schneider
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引用次数: 1

摘要

当前,随着大量数据的产生,对这些数据的分析变得非常重要。由于大量此类数据是私有的,因此以安全的方式进行分析也很重要。基于比较的函数通常用于数据分析。这些函数使用比较操作作为基础。Aggarwal等人(EUROCRYPT ' 04)和Shelat和Venkitasubramaniam (ASIACRYPT ' 15)已经讨论了这些函数的中值安全计算。本文提出了一种基于比较的函数安全计算的通用协议。为了扩展到大量参与者,我们在星形拓扑中提出了该协议,旨在降低通信复杂性。我们还提出了一个特定的基于比较的函数的协议,即排名第k的元素。我们的一个协议的构造泄露了一些中间值,但没有透露有关单个方输入的信息。通过提供实现,我们证明了我们的协议比Tueno等人(FC ' 20)对排名第k的元素的协议提供了更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison-based MPC in Star Topology
: With the large amount of data generated nowadays, analysis of this data has become eminent. Since a vast amount of this data is private, it is also important that the analysis is done in a secure manner. Comparison-based functions are commonly used in data analysis. These functions use the comparison operation as the basis. Secure computation of such functions have been discussed for median by Aggarwal et al. (EUROCRYPT’04) and for convex hull by Shelat and Venkitasubramaniam (ASIACRYPT’15). In this paper, we present a generic protocol for the secure computation of comparison-based functions. In order to scale to a large number of participants, we propose this protocol in a star topology with an aim to reduce the communication complexity. We also present a protocol for one specific comparison-based function, the k th ranked element. The construction of one of our protocols leaks some intermediate values but does not reveal information about an individual party’s inputs. We demonstrate that our protocol offers better performance than the protocol for k th ranked element by Tueno et. al. (FC’20) by providing an implementation.
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