Artificial Immunology Based Anti-Pollution P2P File Sharing System

摘要：

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

作者: WEI Dong YANG Shou-bao LIU Xiao-qian

作者单位: Department of Computer Science and Technology,University of Science and Technology of China

会议类型: 国际会议

会议名称: 第六届网格与协同计算国际会议(The Sixth International Conference on Grid and Cooperative Computing GCC 2007)

会议地点: 乌鲁木齐

会议语种:英文

页码: 82-87

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）