基于同态加密的云计算数据隐私保护

Jing Wang, Fengheng Wu, Tingbo Zhang, Xiaohua Wu
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引用次数: 1

摘要

云计算由于其低廉的价格、高可靠性和服务的通用性而得到了广泛的应用。但是,考虑到用户和服务提供商之间的云计算交易通常是异步的,用户和服务提供商之间的数据隐私可能导致信任危机,从而阻碍云计算应用的扩展。本文提出了一种基于同态加密的数据隐私保护云计算方案DPP,该方案实现了正确性、兼容性和安全性。DPP通过引入同态加密实现数据隐私保护。为了验证DPP的安全性,我们基于Paillier同态加密方案实例化了DPP,并对其性能进行了评估。实验结果表明,DPP方案中关键步骤的耗时是合理和可接受的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DPP: Data Privacy-Preserving for Cloud Computing based on Homomorphic Encryption
Cloud computing has been widely used because of its low price, high reliability, and generality of services. However, considering that cloud computing transactions between users and service providers are usually asynchronous, data privacy involving users and service providers may lead to a crisis of trust, which in turn hinders the expansion of cloud computing applications. In this paper, we propose DPP, a data privacy-preserving cloud computing scheme based on homomorphic encryption, which achieves correctness, compatibility, and security. DPP implements data privacy-preserving by introducing homomorphic encryption. To verify the security of DPP, we instantiate DPP based on the Paillier homomorphic encryption scheme and evaluate the performance. The experiment results show that the time-consuming of the key steps in the DPP scheme is reasonable and acceptable.
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