论文部分内容阅读
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.