Journal of Software:2014.25(3):576-590

(东北大学 信息科学与工程学院, 辽宁 沈阳 110819)
Survey on Privacy Preserving Techniques for Publishing Social Network Data
LIU Xiang-Yu,WANG Bin,YANG Xiao-Chun
(School of Information Science and Engineering, Northeastern University, Shenyang 110819, China)
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Received:February 22, 2012    Revised:April 19, 2013
> 中文摘要: 对社会网络隐私保护的研究现状与进展进行了阐述.首先介绍了社会网络隐私保护问题的研究背景,进而从社会网络中的隐私、攻击者背景知识、社会网络数据隐私保护技术、数据可用性与实验测评等方面对当前研究工作进行了细致的分类归纳和分析,指出了当前社会网络隐私保护的不足以及不同隐私保护技术间的对比和优缺点,并对未来需要深入研究的方向进行了展望.对社会网络数据隐私保护研究的主流方法和前沿进展进行了概括、比较和分析.
中文关键词: 社会网络  隐私保护  数据发布
Abstract:This paper surveys the state of the art of privacy preserving for publishing social network data. First, the research background of privacy preserving for social network data is presented. Then, four important aspects of privacy preserving for social network data are summarized and analyzed in detail. The discussed topics includes privacy of social network, adversaries' background knowledge, privacy preserving technologies of social network, and data utility and experimental analysis. In addition, this paper points out the defects of privacy preserving in social networks and provides the comparisons of privacy preserving technologies. Finally, some potential future research directions are introduced. This paper aims to offer a deep insight into the mainstream methods and recent progress in this field, making detailed comparison and analysis.
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基金项目:国家重点基础研究发展计划(973)(2012CB316201);国家自然科学基金(61173031,61272178);教育部基本科研业务费(N120504001,N110404015) 国家重点基础研究发展计划(973)(2012CB316201);国家自然科学基金(61173031,61272178);教育部基本科研业务费(N120504001,N110404015)
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LIU Xiang-Yu,WANG Bin,YANG Xiao-Chun.Survey on Privacy Preserving Techniques for Publishing Social Network Data.Journal of Software,2014,25(3):576-590