P2P网络环境下抑制节点虚假评价的全局信任模型

Global Trust Model to Suppress Deceitful Evaluation of Peers for P2P Environments

针对P2P网络环境下节点提交虚假信任评价问题,提出节点评价可信度计算方法,并利用该方法构造一种全局信任模型,给出了模型的数学描述与分布式实现.该方法的基本原理是利用反馈控制机制将评价可信度反馈到本地信任值计算阶段,间接地影响节点的全局信任值.评价可信度低的节点会受到系统的惩罚,它的全局信任值会降低,反之亦然.仿真结果表明所提出的模型较以前的模型对于虚假评价有更强的识别能力.

Aiming at the problem of deceitful trust evaluation submitted by malicious nodes in P2P network,a computation method for node′s evaluation credibility was proposed.A global trust model integrating the computation method was constructed.The mathematics description and distributed implementation of the model were presented.Basic principle of the method is to integrate evaluation credibility into local trust computation via a feedback control mechanism,and influence the global trust value of nodes indirectly.These nodes with low evaluation credibility will be subjected to punishment of the system,and their global trust value will be lowered,and vice versa.Simulation results show that the proposed model has stronger identifying ability to deceitful evaluation than existing models related.