Analysis And Prediction Based On Grey Theory In P2P Network

Currently P2P networks used more wide, and P2P technology has been applied in a lot of fields. P2P network is dynamic, expansible, self-organization and non-centralized, which result in a big security problem in the P2P network and the lack of trust between nodes, so that largely impede the further development of P2P networks. Therefore nodes behavior analysis and prediction is an important factor in the sharing of resources.For the features of P2P networks and on the basis of deep study of grey theory, we correlate grey relation projection to grey prediction and propose grey behavior analysis based on projection method or GBAP in short, for the behavior analysis and prediction of nodes in P2P networks. GBAP can be divided into two parts, including the node behavior analysis and the node behavior prediction. The work of node behavior analysis is to apply grey relation projection to the node identification, then calculate projection value of each candidate node to the ideal node, in order to evaluate the performance of node. The node behavior prediction is to apply grey generating on the projection value of each node, in order to unify the goal nature of series, and then generate grey module, here we use SmoGM(1,1) module, after that, we calculate the prediction value for the behavior prediction of node, at last calculate the residual error and get the credibility of the node, the analysis the performance of the grey prediction module.On the base of collect all the data of P2P network, paper calculate projection value of the four candidate node to the ideal node, and apply principal component analysis on the same data, the compared the projection value and the result of principal component analysis, then carry detailed analysis and comparison on the all kinds aspects of four nodes performance. The result show that grey behavior analysis based on projection is an effective method for the nodes behavior analysis and prediction in P2P network, it helps improve the objectivity of P2P networks evaluation and lay a good foundation for secure communications in the P2P network.