多粒度信任经验模型研究

Research on multi-granularity experience trust model

为解决分布式网络中节点经验差异导致的信任评价不准确的问题,提出了一种基于经验的信任模型。通过对最大容忍误差的动态调整,以及根据经验的不同对信任值的动态更新,使得新模型具有较好的适应能力,体现了节点的个性化。仿真实验表明,新模型能较好地抵制恶意欺骗行为,信任评价准确性较高。

In order to eliminate the infection resulted from the trust evaluation difference of individual nodes,this paper put forward a multi-granularity trust model based on individual experience.In this model,employed experience factor and multi trust information recording methods.Experiment and analysis show that the proposed model has better improvement in granularity and veracity of trust evaluation.