P2P网络中基于模糊评判的推荐信任模型  

Recommendation trust model in P2P networks based on fuzzy comprehensive evaluation

作　　者：廖列法[1] 刘朝阳[1] 

机构地区：[1]江西理工大学信息工程学院,江西赣州341000

出　　处：《计算机工程与设计》2014年第4期1183-1187,共5页Computer Engineering and Design

基　　金：国家自然科学基金项目(71061008)

摘　　要：为了提高P2P系统中交易的安全性和信任度量的准确性,提出一种基于模糊综合评判的推荐信任模型。充分体现节点间信任关系的模糊性、动态性,采用二层模糊综合评判方法来计算直接信任值,降低了人为赋值的误差,将交易金额和交易时间作为二层评判的权重。在推荐信任计算中引入节点交易密度函数和推荐共谋检测方法来计算推荐节点的推荐可信度。仿真结果表明,该模型可以有效抵御共谋推荐,对恶意节点有较高的检测率。To improve the security of transaction and the accuracy of measurement of the trust in P2P system, a recommendation trust model based on fuzzy comprehensive evaluation is proposed. In order to fully embody the fuzziness and dynamic of trust re- lationship between the nodes, a two-stage fuzzy comprehensive evaluation method is used to calculate the direct trust. To be more accurate, the transaction amount and transaction time is used to detemine the weight of second-stage comprehensive evaluation to reduce the artificial error. The transaction frequency and recommend collusion testing is used to measure the recommendation credibility of the recommenders in the calculation of recommendation trust. The simulation experiments show that the model can effectively prevent the recommend collusion, and has higher success rate in malicious node detecting.

关 键 词：P2P系统 模糊综合评判 推荐信任 交易密度 共谋 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]