基于Bayes的对等网信任模型仿真与分析

Analyse and Simulation of the Bayes based Trust Model for Peer-to-Peer Network

针对对等网络环境中的信任关系的复杂性,动态性和不确定性以及传统的信任管理模型不能很好地适应对等网络,对基于Bayes概率统计的信任量化模型进行仿真与分析,在信任计算中,引入经验贝叶斯估计来计算直接信任值和推荐信任值,节点根据自身的情况进行权重分配,计算综合信任评价,最后提出了信任模型在对等网络中的实现方法。仿真结果显示,该模型具有很好的动态适应能力,可以有效地检测并隔离系统中的恶意节点,降低系统的服务失败率。

According to the complexity,dynamic and uncertainty of trust relationship in the P2P network environment and the traditional trust management can not adapt to the P2P network well,Based on Bayes probability and statistics of trust quantization model is analyzed.In the calculation of trust,Introducing experience bayesian estimation to calculate the direct trust value and recommendation trust value,node distribute the weight according to the condition of itself and calculate the Comprehensive trust evaluation.Finally a trust model method for P2P network is proposed.Simulation results shows that this model has good dynamic adaptive capacity,can effective detection and isolation malicious node of system,reduce the service failure rate.