摘要
开放网络环境中,电子商务活动越来越频繁,文件共享等服务越来越普遍,用户之间的信任关系成为安全问题的重点。为确定大量未知实体的信任关系,出现了基于不同方法的推荐信任模型,其关键在于如何解决推荐信任的传播与合成。该文研究了现有的推荐信任模型,分析了其中存在的问题;为解决推荐信任传递问题,提出了信任向量的定义;在此基础上提出了基于推荐信任向量的新型推荐信任模型。最后进行了仿真实验分析。
In open network environment ,Electronic commerce becomes more and more frequent ,and the service such as file sharing is more common.These make the trust relationship between persons be the key problem in security area.To determine trust relationship of unknown entities,many recommendation trust models are presented based on different uncertainty inference rules.These models focus on resolving the propagation and combination of recommend trust.In this paper,some existing models are analyzed and their problems are pointed out.To resolve these problems ,a definition of trust vector is presented in this paper.Based on this definition,a new recommend trust model is proposed.The simulation shows that,compared to the current models,the proposed recommend trust model is more effective.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第29期47-49,80,共4页
Computer Engineering and Applications
