如何用全同态加密实现高精度计算

Tomoki Agematsu, Satoshi Obana
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引用次数: 0

摘要

近年来,随着云服务数量的增加,机密信息的泄露成为人们关注的问题。在保证数据保密性的同时处理数据的技术称为安全计算,而基于全同态加密的安全计算是实现安全计算的重要途径之一。FHE是一种可以在加密状态下对数据执行任意次数的加法和乘法的密码系统。因此,通过使用FHE,我们可以在加密状态下实现任意操作。然而,在实际应用中,利用FHE实现复杂的操作并不是那么容易。特别是在实现高精度的复杂操作方面存在困难。这种计算在各种情况下(例如,在计算医学统计中)都是非常需要的。然而,在给定一定精度的情况下,计算复杂运算的方法目前还没有得到很好的研究。在本研究中,我们提出了一种利用FHE计算加密状态下除法和u-根的方法。在该方法中,操作的结果可以达到给定的精度。我们利用n阶麦克劳林近似多项式,用同态加法和乘法逼近除法和u次根。我们用余数项来估计近似的误差。此外,我们还实现了所提出的方法,并测量了除法和平方根的执行时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How to Realize Highly Accurate Computation with Fully Homomorphic Encryption
In recent years, as the number of cloud services increases, leakage of confidential information is a matter of concern. Techniques for processing data while preserving confidentiality of data are called secure computation, and secure computation based on fully homomorphic encryption (FHE for short) is one of the most important ways of realizing secure computation. FHE is a cryptosystem that can perform both arbitrary times of additions and multiplications of data in the encrypted state. Therefore, by using FHE, we can realize arbitrary operations in the encrypted state. However, it is not so easy to realize complex operations using FHE in practice. In particular, there are difficulties in realizing complex operations with high accuracy. Such computation is highly desired in various situations (e.g., in computing medical statistics). Nevertheless, the methodology to compute complex operations given a certain accuracy is not well studied so far. In this research, we propose a method to compute division and a u-th root in the encrypted state using FHE. In the proposed method, the result of an operation can achieve the given accuracy. We employ the n-th order maclaurin approximate polynomial to approximate division and a u-th root by homomorphic addition and multiplication. We evaluate the error of an approximation using a remainder term. Also, we implemented the proposed method and measured execution time for division and a square root.
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