通信学报 ›› 2013, Vol. 34 ›› Issue (Z1): 190-196.doi: 10.3969/j.issn.1000-436x.2013.z1.025

• 技术报告 • 上一篇    下一篇

基于公开信息的社交网络隐私泄露

吕少卿1,张玉清1,2,倪平2   

  1. 1 西安电子科技大学 综合业务网理论及关键技术国家重点实验室信息安全研究中心,陕西 西安710071
    2 中国科学院大学 国家计算机网络入侵防范中心,北京 100190
  • 出版日期:2013-08-25 发布日期:2017-06-23
  • 基金资助:
    国家自然科学基金资助项目;北京市自然科学基金资助项目

Privacy leakage in online social networks based on public information

Shao-qing LV1,Yu-qing ZHANG1,2,Ping NI2   

  1. 1 Information Security Research Center of State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, China
    2 National Computer Network Intrusion Protection Center, University of Chinese Academy of Sciences, Beijing 100190, China
  • Online:2013-08-25 Published:2017-06-23
  • Supported by:
    The National Natural Science Foundation of China;The Natural Science Foundation of Beijing

摘要:

针对社交网络公开信息提出了一种隐私信息推测算法,通过对用户的好友关系网络进行社区发现,利用社区内一部分好友公开信息推测其他好友隐私信息。实验表明,该算法只需利用少量公开信息就能以较高的准确率推测出其他用户大量的隐私信息。

关键词: 社交网络, 隐私泄露, 社区发现

Abstract:

An algorithm was proposed to predict privacy information in social network with public information. This al-gorithm detected communities in the friend relationship network and inferred privacy information using public informa-tion of some friends. The results show that users' privacy information can be estimated with high accuracy when given only a little public information.

Key words: online social network, privacy leakage, community detection

No Suggested Reading articles found!