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RRM:An incentive reputation model for promoting good behaviors in distributed systems 被引量:7
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作者 ZHANG Hong1,2,DUAN HaiXin1,3 & LIU Wu1,3 1 Tsinghua National Laboratory for Information Science and Technology,Tsinghua University,Beijing 100084,China 2 Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China 3 Network Research Center,Tsinghua University,Beijing 100084,China 《Science in China(Series F)》 2008年第11期1871-1882,共12页
Reputation systems represent soft security mechanisms that complement traditional information security mechanisms. They are now widely used in online e-commerce markets and communities in order to stimulate good behav... Reputation systems represent soft security mechanisms that complement traditional information security mechanisms. They are now widely used in online e-commerce markets and communities in order to stimulate good behaviors as well as to restrain adverse behaviors. This paper analyzes the limitations of the conversational reputation models and proposes an incentive reputation model called the resilient reputation model (RRM) for the distributed reputation systems. The objective of this reputation model is not only to encourage the users to provide good services and, therefore, to maximize the probability of good transaction outcomes, but also to punish those adverse users who are trying to manipulate the application systems. The simulation results indicate that the proposed reputation model (RRM) could effectively resist against the common adverse behaviors, while protecting the profits of sincere users from being blemished by those adversaries. 展开更多
关键词 reputation model distributed system TRUST soft security
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