On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A group based reputation system for p2p networks
ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
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P2P systems are increasingly gaining acceptance on the Internet as they provide an infrastructure in which the desired information and products can be located and traded. In P2P systems, it is important and helpful to identify those peers that can provide better services. A trust model can be used to provide an approach to build trust through social control without trust third parties. In this paper, we propose a new community-based trust management framework in P2P systems. There are three main features of this model. First, a Beta distribution based metric is introduced to measure the trust of peers. Second, referral trust information is given to communities for each requestor, in this sense the prior knowledge of requestors about the community in environments is used to promote the collaboration. Third, the method to update referral trust value of each community is given, thus peers can learn from experiences about the environment. The experiment results show that the use of community structure indeed improve the performance of the P2P networks compared it with the existing models.