基于社会心理学的P2P网络信任模型

A Social Psychology Trust Model for P2P Network

为了实现P2P网络信任模型的动态适应能力和低计算复杂度,提出一种基于社会心理学的P2P网络信任模型。该模型借鉴社会心理学中接近性、熟悉性和相似性3个基本概念,引入成熟交易关系、信任学习因子、交易密度因子和相似度因子等新型要素进行直接信任和推荐信任的计算,并给出模型信任值的计算方法。最后从模型的动态适应性、容错性和优越性3个方面对信任模型进行仿真分析,相关结果表明了所提模型的有效性。

To achieve dynamic adaptability and low computational complexity for Peer-to-Peer（ P2P） network trust model,a trust model based on social psychology for P2 P Network is proposed,which draws on the three basic concepts of proximity,familiarity and similarity in social psychology. Mature trading relationship,trust learning factor,transaction density factor and similarity factor are defined to obtain direct trust value and recommendation trust value,and further to calculate resulting trust value. The proposed model is verified effective with simulation results on dynamic adaptability,fault tolerance and superiority.