数据库隐私保护技术研究

Research on Database Privacy Protection

由于数据库系统正面临越来越多的隐私信息泄露的威胁,如何在数据库中保护用户隐私成为一个研究热点。这里概述了数据库隐私保护研究的现状,分析了常用的隐私保护技术,包括用户认证、访问控制和推理控制等,并介绍了其最新研究进展。对数据挖掘中的隐私保护进行了探讨,展望了数据库隐私保护技术研究的发展方向。研究认为,权衡安全性和可用性两方面的合理需求是构建隐私保护数据库的技术关键。

Nowadays, there are a lot of researches on protecting the privacy of users because the database systems are suffering more and more disclosure of privacy information. In this paper, the state-of-the-art of database privacy protection is overviewed, methods of privacy protection including user authentication, access control, and inference control are analyzed, and the latest progresses are introduced. Furthermore, privacy protections in data mining and future researches on database privacy protection are discussed. A conclusion is drawn at the end of this paper that it is critical to trade off the security and the availability to build a privacy protected database.