A Reputation Evaluation Algorithm Based On HP2P Networks

Nowadays, with the use of P2 P technology, the security of the P2 P becomes more and more important. Peer-to-peer networks offer an ideal environment for the spread of malicious files because of its anonymous and open characteristics. Because of the characteristics of self-organizing, P2 P system face more security challenges than traditional networks. Nodes in the network can make a variety of acts, the quality of node behavior directly affects the extent of its trusted. So it is the foundation of various kinds of p2 p networks to establish a reliable reputation evaluation system.Considering and in combination with the unique network structure of HP2 P, this paper establish an improved reputation evaluation algorithm based on the classical Eigen Trust algorithm. In this paper, the improved algorithm HP2 PTRUST consists of two reputation sub-algorithms, inter-cluster and intra-cluster reputation algorithms. Through the combination of the two reputation sub-algorithms, HP2 PTHRUST can get the global reputation of each node in the network. It can convergent more quickly than the original algorithm. HP2 PTRUST algorithm also includes a hierarchical set of trusted nodes selection algorithm. This algorithm enhances the flexibility of selecting the trusted nodes in Eigen Trust algorithm, so it can reflect the network situation more dynamically.The experimental result indicates that HP2 PTRUST can be more effective in shorting the convergence time and detecting the hidden malicious nodes.