基于信誉模糊度的P2P网络交易信任模型

目前P2P是互联网上的一项主流应用，但是由于P2P网络的动态性和匿名性使得该项技术一直存在安全隐患。本文基于节点信誉模糊度设计了一个P2P网络交易信任模型，根据节点的历史交易记录，结合模糊数学的相关原理来统计该节点的信誉模糊度，并以此作为P2P网络交易的选择依据。节点的信誉模糊度会根据节点的行为来进行增减，实现动态的、合理的奖惩机制。实验结果表明：本文设计的信任模型在交易成功率、网络负载等方面体现出较高的性能。

P2P Network Transactions Trust Model Based on Reputation Fuzzy Degree

Now P2P is a mainstream application on the Internet.But there are still having a safety hazard because of the characters of dynamic and anonymity of P2P.This paper deigns a model of P2P trust based on fuzzy degree of nodes＇prestige.Compute the fuzzy degree of nodes＇prestige according to the history records and the theory of fuzzy mathematics and use this as the basis of choice of P2P transaction.The fuzzy degree of nodes＇ prestige will be increased and decreased according to the behaviors of node,establishing the dynamic and reasonable mechanism of rewards and punishment.Experimental results show that the model designed in this paper has the higher performance in the parts of trade success rate and network load.