Privacy Protection through Appropriate Interaction Patterns

摘要：

In network environments, before mean-ingful interactions can begin, trust may need to be established between two interactive entities in which an entity may ask the other to provide some information involving privacy. Consequently, pri-vacy protection and trust establishment become important in network interactions. In order to pro-tect privacy while facilitating effective interactions, we propose a trust-based privacy protection meth-od. Our main contributions in this paper are as fol-lows: (1) We introduce a novel concept of k-sensi-tive privacy as a measure to assess the potential threat of inferring privacy; (2) According to trust and k-sensitive privacy evaluation, our proposed method can choose appropriate interaction pat-terns with lower degree of inferring privacy threat; (3) By considering interaction patterns for privacy protection, our proposed method can overcome the shortcomings of some current privacy protection methods which may result in low interaction success rate. Simulation results show that our method can a-chieve effective interactions with less privacy loss.

关键词： network security privacy protection trust interaction pattern network interaction

作者: Gao Feng He Jingsha Lv Xin Zhang Feng

作者单位: College of Computer Science and Technology,Beijing University of Technology, Beijing 100124, P.R. Ch School of Software Engineering,Beijing University of Technology, Beijing 100124, P.R. China State Information Center,Beijing 100045, P. R. China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University

会议类型: 国际会议

会议名称: 2011年中国计算机学会服务计算学术会议(CCF NCSC2011)

会议地点: 济南

会议语种:英文

页码: 141-152

在线出版日期: 2011-08-18（万方平台首次上网日期，不代表论文的发表时间）