A reputation-based method for controlling free-ride in P2P networks

In P2P networks, the behavior of free-ride is growing. It causes negative impact on the robustness and availability of the networks. The enthusiasm of users should be guaranteed by containing the free-riders. An allocation method of the resource based on the global reputation value is proposed in this paper. The weight of the recommender is assigned through the introduction of the cluster algorithm, the global reputation values are synthesized through iteration. Based on the reputation value, the problem of the allocation of the resource is summed up as a linear programming issue. The method can ensure the peer with more contribution have priority to be allocated with the resource, the rational peers are impelled to contribute for the system. Simulation analysis shows that, the method is fair for the allocation the resource. It is effective for restricting the selfish behavior of the peer.