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P2P file sharing, content distribution , distributed computing and many other fields shows its unique extremely wide range of applications , and has been the increasing number of network users to join the P2P network , its openness , reciprocity , anonymity , autonomy , and supervision , while convenient to network users , it also brings a lot of security risks , including file pollution is one of the more prominent security issues . P2P network file pollution not only undermine the security , mutual benefit and shared resources and the environment , reduce the availability of resources , but also for the spread of viruses, worms and other malicious programs in the network provides a convenient , the contents of the file sharing system security caused serious the impact . Based on in -depth study of shared system files pollution phenomenon , the use of the model of epidemic spread , the spread of file pollution modeling , and analyzed the propagation of the pollution file , document distribution speed and user behavior contamination spread affected. In a P2P network , the faster the file content distribution , the spread of contamination is the sooner ; same time, whether users can download files a timely and effective detection , also directly affect the speed and degree of diffusion of the spread of contamination . On the basis of the analysis on the the pollution propagation modeling results , a node-based pollution , pollution control strategies . First, the node detects the download file , obtained the degree of contamination of the file object evaluation , and the use of neighboring nodes to effectively manage these evaluation information ; same time, the average pollution level of the node through the regular exchange of information and average degree of contamination , the choice of neighbors . Second, each node pollution File Information collected to maintain pollution blacklist file . Ready to Download File information compared with the blacklist to download the security filter to choose a safe and effective download the source file to download . From the experimental results it can be seen , the use of this strategy , on the one hand, to a certain extent , inhibit the spread of contamination file , on the other hand , effectively controlling the number of malicious nodes , and in some extent, improve the success rate of a file to download .
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