Research on the immune strategy for the polluted file propagation in structured P2P networks

To deal with the file pollution problem in structured P2P networks, this paper proposes an anti-pollution strategy based on the immune approach and the file propagation-chain tracing technique. With the characteristics of the structured P2P networks, we establish a biological immune model and a file propagation tracing mechanism, based on which the mechanisms for alarms collection, propagation-chain tracing, immune response and antibody memorizing are designed. The proposed immune strategy can not only eliminate the polluted clusters and indices effectively but also prevent the reviving of the old pollution. In addition, the node permission is employed to control the ability to request files. The experimental results show that our strategy can curb the propagations of the polluted files effectively and efficiently even in the severely polluted structured P2P networks.

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► We present the mechanisms for anti-pollution according to the biological immune theory in structured P2P networks.
► An effective file tracing scheme, i.e. the file propagation-chain, is established in order to have a good grasp of the file distribution information.
► An anti-pollution strategy based on the file tracing scheme, immune response and node permission control is proposed.