结合粒子群算法的P2P网络信誉机制研究  

Study on the Reputation System of P2P Network Based on Particle Swarm Optimization

作　　者：李鹏程[1] 程惠勤 

机构地区：[1]铁道警察学院,河南450053

出　　处：《网络安全技术与应用》2014年第5期35-36,共2页Network Security Technology & Application

摘　　要：随着互联网的发展,P2P(Peer to Peer)网络已成为流行的网络结构。其高度的动态性、自治性和异构性,导致不可靠的服务质量及大量欺诈行为的存在。本文在已有的信任管理模型的基础上提出了一种在无集中式服务器P2P网络中结合粒子群算法的可信目标节点搜索算法,有效的解决了P2P网络中可信目标节点寻找问题。With the development of the internet, Peer to Peer has become a popular internet structure.The features of the P2P structure, the high dynamity, automaticity and heterogeneity, have caused a large number questionable services and even internet frauds.Based on the current trust management model, this paper puts forward a new search algorithm combined with the particle swarm algorithm to find the realizable goal nodes more effectively in a net without centralized serverso

关 键 词：P2P PSO 信任管理 信誉 搜索算法 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]