Journal of Electrical Engineering and Automation

With the widespread application of cloud computing services, data privacy protection has become an important issue. This paper aims to explore the design of differential privacy mechanisms applicable to the cloud computing environment. By analyzing existing technologies and their limitations, an enhanced differential privacy framework is proposed to improve data security and the level of user privacy protection. The research first introduces the basic concept of differential privacy and its current application status in cloud computing. Then, it elaborately discusses the design concept, implementation method of the new mechanism, and its advantages compared with traditional methods. The proposed differential privacy mechanism can not only effectively resist various privacy attacks but also perform excellently in maintaining data availability and query accuracy. This paper provides a new perspective and solution for data privacy protection in the cloud computing environment.

Differential Privacy; Cloud Computing; Data Privacy Protection; Privacy Attack