论文部分内容阅读
现有信任模型对节点行为的突然改变不能做出迅速地反应,动态性适应能力支持不足.引入反馈控制机制,提出了一种P2P网络环境下的全局信任模型,并给出模型的分布式实现策略.该模型排除了P2P网络中很难确定的高信任节点集合,并通过对反馈信息的有效聚合增强信任系统的动态适应能力,有效地遏制恶意节点的动态摇摆行为,提高了P2P网络中共享文件的下载成功率.仿真结果显示,在有50%的动态摇摆恶意节点的P2P文件共享网络环境下,真实文件下载的平均成功率是用于比较现有模型的1.5倍.
The existing trust model can not react rapidly to sudden change of node behavior, and lack of dynamic adaptive ability support.An approach to feedback control is proposed, a global trust model in P2P network environment is proposed and the distributed implementation of the model is given Strategy is proposed.The model excludes the set of highly trusted nodes that are difficult to be determined in P2P networks and effectively improves the dynamic adaptability of trust system by effectively aggregating feedback information to effectively curb the dynamic swing behavior of malicious nodes and improve the sharing of P2P networks File download success rate.The simulation results show that in the P2P file sharing network with 50% dynamic swinging malicious nodes, the average success rate of real file download is 1.5 times that of the existing model.