Grey Theory Based Nodes Risk Assessment in P2P Networks

P2P networks are self-organized and distributed. Efficient nodes risk assessment is one of the key factors for high quality resource exchanging. Most assessment methods based on trust or reputation have some remarkable drawbacks. For example, some methods impose too many restrictions to the samples, and many methods canpsilat identify the malicious recommendations, which result in that the final results are not convincible and credible. To solve these problems, we propose a novel risk assessment method based on grey theory. In our scheme, the communication nodespsila incomplete information state is described as several key attributes. Original data of these attributes is collected using taste concourse method to avoid malicious recommendation. The analysis and computing example shows this scheme is an efficient incomplete information nodes risk assessment method in P2P networks.