P2P环境下基于模糊理论的Dirichlet信任评估模型  

Dirichlet trust rating model based on fuzzy theory for P2P network

作　　者：乔云峰[1,2] 接标[1,2] 刘莹[1,2] 郭良敏[1,2] 罗永龙[1,2] QIAO Yunfeng;JIE Biao;LIU Ying;GUO Liangmin;LUO Yonglong(School of Mathematics and Computer Science, Anhui Normal University, Wuhu, Anhui 241003, China;Network and InformationSecurityEngineeringResearchCenter,AnhuiNormalUniversity,Wuhu,Anhui241003,China)

机构地区：[1]安徽师范大学数学与计算机科学学院,安徽芜湖241003 [2]安徽师范大学网络与信息安全工程技术研究中心,安徽芜湖241003

出　　处：《计算机工程与应用》2017年第1期124-129,共6页Computer Engineering and Applications

基　　金：国家自然科学基金(No.61370050);安徽省自然科学基金(No.1308085QF118)

摘　　要：针对P2P(Peer-to-Peer)网络中存在的恶意评价、摇摆服务等现象,提出一种基于模糊理论的Dirichlet信任评估模型。提出的模型利用模糊聚类的方式过滤掉一些恶意评价,并抑制节点摇摆服务的影响,从而为网络节点信任值的计算提供了公平、良好的评估环境。在此基础上,考虑到主观信任动态变化的特点,结合模糊理论中贴近度概念,提出一种新的模糊信任更新机制,从而更有效提高节点提供优质服务的积极性。实验结果表明,提出的模型具有良好的评估特性,适用于P2P网络信任评估的环境。A Dirichlet trust rating model based on fuzzy theory is proposed to deal with the phenomenon of malicious evaluationand swing service in P2P network. The model proposed uses fuzzy clustering to isolate the malicious evaluation,and also reduces the probability of swing service. Considering the dynamic character of subjective trust, a new mechanismof trust renewal is provided, which is based on the degree of approximation in fuzzy theory. And this mechanism does betterin improving the enthusiasm of service provider to provide quality services. Several related experiments show that themodel has several good characters for the trust rating in P2P network.

关 键 词：模糊理论 Dirichlet分布 恶意评价 摇摆服务 信任评估 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]