A Homomorphic Encryption Scheme Based on Affine Transforms

Kyle Loyka, He Zhou, S. Khatri
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引用次数: 3

Abstract

As more businesses and consumers move their information storage to the cloud, the need to protect sensitive data is higher than ever. Using encryption, data access can be restricted to only authorized users. However, with standard encryption schemes, modifying an encrypted file in the cloud requires a complete file download, decryption, modification, and upload. This is cumbersome and time-consuming. Recently, the concept of homomorphic computing has been proposed as a solution to this problem. Using homomorphic computation, operations may be performed directly on encrypted files without decryption, hence avoiding exposure of any sensitive user information in the cloud. This also conserves bandwidth and reduces processing time. In this paper, we present a homomorphic computation scheme that utilizes the affine cipher applied to the ASCII representation of data. To the best of the authors» knowledge, this is the first use of affine ciphers in homomorphic computing. Our scheme supports both string operations (encrypted string search and concatenation), as well as arithmetic operations (encrypted integer addition and subtraction). A design goal of our proposed homomorphism is that string data and integer data are treated identically, in order to enhance security.
基于仿射变换的同态加密方案
随着越来越多的企业和消费者将他们的信息存储转移到云端,保护敏感数据的需求比以往任何时候都要高。通过加密,可以将数据访问限制为只有授权用户才能访问。但是,使用标准的加密方案,修改云中的加密文件需要完整的文件下载、解密、修改和上传。这既麻烦又耗时。最近,同态计算的概念被提出来解决这个问题。使用同态计算,可以直接对加密文件执行操作,而不需要解密,从而避免暴露云中的任何敏感用户信息。这还可以节省带宽并减少处理时间。本文提出了一种利用仿射密码对数据进行ASCII表示的同态计算方案。据作者所知,这是在同态计算中第一次使用仿射密码。我们的方案既支持字符串操作(加密字符串搜索和连接),也支持算术操作(加密整数加法和减法)。我们提出的同态的一个设计目标是,字符串数据和整数数据得到相同的处理,以增强安全性。
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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