P2P文件共享防污染系统设计与仿真

文件污染是当前P2P文件共享系统普遍存在的问题,极大的降低了系统的可用性。提出基于文件对象的污染传播模型,利用向量空间相似度赋予投票权重,使用horting图方法解决数据稀疏性问题,采用自适应的信誉阈值判断文件可信性,建立了基于对象信誉的P2P文件共享防污染系统。仿真实验表明,系统具有很高的识别精确度,能够很好的抑制污染文件在网络中的传播。

Design and Simulation of P2P File Sharing Anti-pollution System

The problem of file pollution is prevalent in P2P file sharing system nowadays. The pollution reduces the availability of system sharply. Pollution proliferation model based on file object was proposed, Vector space similarity was computed to weight the votes from other peers. Horting graph-theoretic approach was employed to deal with data sparsity problem, Self-adaptive reputation threshold was adopted to estimate file authenticity. A P2P file sharing anti-pollution system based on object reputation was established to improve the availability. Simulation results show that the system can distinguish between good and polluted file accurately and thwart proliferation of pollution in the network.