基于云计算的数据隐私保护技术研究

Research on data privacy protection technology based on cloud computing

大数据使云计算成为数据存储和处理的重要途径,但也引发了数据隐私和安全问题。因此,发展基于云计算的数据隐私保护技术是当前研究热点之一。文章进一步开发了包括数据提供者、服务器和用户3部分组成的云架构,并发展了一种apriori算法来增强加密数据的隐私性、云计算系统的数据保护以及查询隐私功能。最后,为了评估所提出的架构的安全性能,实验使用Windows11操作系统的计算机对不同的最小支持度和数据量做安全评估。测试表明,所提出的算法能为云计算系统提供安全的隐私保护。

Big data makes cloud computing an important way of data storage and processing,but it also raises data privacy and security issues.Therefore,the development of data privacy protection technology for cloud computing is one of the current research hotspots.The paper further develops a cloud architecture consisting of three parts:data provider,server and user,and develops an apriori algorithm to enhance the privacy of encrypted data,data protection of cloud computing systems,and query privacy functions.Finally,in order to evaluate the security performance of the proposed architecture,the experiment uses a computer with Windows 11 operating system to do security evaluation for different minimum support and data volume.Tests show that the proposed algorithm can provide secure privacy protection for cloud computing systems.