The (P, a, K) anonymity model for Privacy Protection of Personal Information in the Social Networks

摘要：

The(P, a, K) anonymity model for privacy protection of personal information in the social networks is proposed in this paper. The hidden fields P and the hidden levels a are set according to theindividual privacy Deeds of the users.Then make the released data to meet the privacy protection requirements through the Datafly algorithm and the clustering algorithm. The experimental data shows that the (P, a, K) model is better than the traditional Kanonymity model and L-Diversity modelin reducing the running timeand reducing the loss of information.

关键词： Social Networks Privacy Protection Personalized Personal Information

作者: Kong Qing-jiang Wang Xiao-hao Zhang Jun

作者单位: College of ComputerScience and Technology Zhejiang University of Technology Zhejiang Hangzhou 310023 College of Computer Science and Technology Zhejiang University of Technology ZhejiangHangzhou 310023 Zhejiang Key Laboratory of Information Security Zhejiang Hangzhou 310023

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 923-926

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）