Using Domain Trust and Trusted Evaluation for Building Self-Organized p2p Semantic Community

In order to resolve the two principle problems about p2p resource management, which are how to possess enormous number of high quality shared resource, how to find the resource quickly and accurately, a multi-semantic self-organized p2p community model is built in this paper. The main contribution of this paper is: 1 the autonomous peer (AP) model and Autonomic Semantic Community (ASC) model are build. 2 one local domain-related trust and trusted evaluation is projected that bases on interesting, active strength and time effect and it takes the requirement and service two aspects into account. 3 an algorithm of fusing APs local trust and trusted degrees are designed. 4 self-organized community formation algorithm SoPA and its communication mechanism are built. Experiment shows our algorithm could not only autonomous optimize network to increase the efficiency of resource discovery but also base on the synthesized trust degree to find the free-riders, malice peers, and low quality service peers and to keep them within limits.