Fast secure computation based on a secret sharing scheme for n < 2k − 1

Keiichi Iwamura, Kyohei Tokita
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引用次数: 3

Abstract

Secure computation is a major issue that affects the utilization of Big Data. Two main approaches are employed to achieve secure computation: homomorphic encryption (HE). and secret sharing schemes (SSSs), where the computational cost of the latter is generally much less than that of HE. Aminuddin et al. proposed a secure product-sum computation that allows secure multiplication for n < 2k − 1 by using the (scalar value x polynomial) approach. However, this approach requires a polynomial calculation because it uses Shamir's SSS, so it cannot be processed rapidly. In this study, we propose a fast secure computation method based on the XOR scheme, and we evaluate its performance and security.
基于n < 2k−1的秘密共享方案的快速安全计算
安全计算是影响大数据利用的主要问题。实现安全计算主要采用两种方法:同态加密(HE)。秘密共享方案(SSSs),后者的计算成本通常比HE少得多。Aminuddin等人提出了一种安全的乘积和计算,该计算允许使用(标量值x多项式)方法对n < 2k−1进行安全乘法。然而,这种方法由于使用Shamir的SSS,需要多项式计算,因此不能快速处理。本文提出了一种基于异或方案的快速安全计算方法,并对其性能和安全性进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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