Binary Information Press
In P2P networks, each node focuses on different areas, so it is difficult to describe the status accurately by establishing a trust relationship of different areas or different sub-areas. In view of the above problem, the authors present an expert pool trust model for P2P networks. In the authors' model, each node is assigned an appropriate degree of expert pool according to its history behavior. The trust values between nodes are computed by the appropriate solution based on their respective expert pool. For malicious selfish node and conspiring fraud node, they develop an expert feedback algorithm.