摘要
数据发布的隐私保护研究主要分为两类:数据单次发布和数据多次发布。目前,数据单次发布的隐私保护研究已经趋于完善。但是在真实的世界中,待发布的数据通常是动态变化的,数据多次发布的隐私保护是目前该领域的研究热点。对数据多次发布的隐私保护研究成果进行了总结,介绍了关系数据和社会网络数据的隐私保护模型,深入地分析了现有的关系数据和社会网络数据多次发布的各种方法,并指明了该领域的未来研究方向。
The research for data publishing of privacy preserving could be divided into two categories： the single release publishing and the multiple releases publishing. Nowadays,the techniques focus on one single release have been well studied. However,the data preparing for publication is usually dynamic. The research for multiple releases publishing is a hot topic in this field. This paper surveyed privacy protection achievements in multiple releases publishing,and introduced privacy protection models for relational data and social network data. Following a comprehensive comparison and analysis of existing techniques for multiple releases publishing,future research directions are highlighted.
出处
《计算机应用研究》
CSCD
北大核心
2014年第12期3527-3530,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(61170263)
国家"核高基"科技重大专项课题基金资助项目(2012ZX01039-004-009)
信息网络安全公安部重点实验室开放课题项目(C11606)
关键词
关系数据
社会网络数据
隐私保护
数据单次发布
数据多次发布
relational data
social network data
privacy protection
single release publishing
multiple releases publishing
