A fully homomorphic encryption scheme with symmetric keys with application to private data processing in clouds

C. P. Gupta, Iti Sharma
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引用次数: 31

Abstract

With single computer's computation power not sufficing, need for sharing resources to manipulate and manage data through clouds is increasing rapidly. Hence, it is favorable to delegate computations or store data with a third party, the cloud provider. However, delegating data to third party poses the risks of data disclosure during computation. The problem can be addressed by carrying out computation without decrypting the encrypted data. The results are also obtained encrypted and can be decrypted at the user side. This requires modifying functions in such a way that they are still executable while privacy is ensured or to search an encrypted database. Homomorphic encryption provides security to cloud consumer data while preserving system usability. We propose a symmetric key homomorphic encryption scheme based on matrix operations with primitives that make it easily adaptable for different needs in various cloud computing scenarios.
一个具有对称密钥的全同态加密方案,应用于云中的私有数据处理
在单台计算机计算能力不足的情况下,通过云计算共享资源来操作和管理数据的需求迅速增加。因此,将计算委托给第三方(云提供商)或存储数据是有利的。然而,将数据委托给第三方会在计算过程中带来数据泄露的风险。这个问题可以通过在不解密加密数据的情况下进行计算来解决。得到的结果也是加密的,并且可以在用户端解密。这需要修改函数,使它们在确保隐私的同时仍然可以执行,或者搜索加密的数据库。同态加密为云消费者数据提供了安全性,同时保持了系统可用性。我们提出了一种基于矩阵运算的对称密钥同态加密方案,使其易于适应各种云计算场景的不同需求。
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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