针对目前大规模P2P系统不能有效处理恶意节点攻击的问题,该文提出一种新的基于信誉与风险评价的P2P系统信任模型,该模型考虑到节点的动态行为影响信任度计算的不确定性,引入风险因素,并提出采用信息熵理论来量化风险,将实体之间的信任程度和信任的不确定性统一起来。仿真试验及分析表明,该信任模型能够有效识别恶意节点,相比已有的一些信任模型较大程度地提高了系统成功交易率,可以使节点之间更有效地建立信任关系。
In large scale P2P networks, it is difficult to deal with different type of attacks issued by malicious peers. A novel trust model based on reputation and risk evaluation is proposed in this paper to solve this problem, in which the uncertainty between trust relationships is considered. The risk is quantified using information entropy and further trust degree and uncertainty degree are presented in a uniform form. The simulation results show that the proposed trust model can evidently enhance successful transaction ratio of system and efficiently help peers establish trust relationships in open P2P networks.