Artificial immunology based anti-pollution P2P file sharing system
基于人工免疫的P2P文件共享防污染系统

The problem of file pollution is prevalent in the P2P file sharing system nowadays.The pollution reduces the availability of the system sharply.Like the natural immune system,the P2P file sharing system is also highly distributive,self-adaptive and self-organized.Vector space similarity is computed to weight the votes collected from other peers.Self-adaptive reputation threshold scheme is adopted to estimate the file authenticity.Artificial immunology based anti-pollution object reputation mechanism is established to select the neighbor peer set and improve the system availability.Simulation results show that the system can distinguish between good and polluted files accurately and,with low communication cost thwart the proliferation of pollution in the network.