The Reaserch And Implementation Of Collaborative Spam Filtering System

Since the popularity of the Internet, e-mail has gradually become one convenient means of communication in people's lives. However, the resulting spam spread like a plague, pollutes network environment, takes up much of transmission, storage and computing resources, and affects the normal operation of the network. Inners analyse: once spam accounted for a third of the total flow of Internet data above, will cause enormous storage requirements, and even the effectiveness of information security systems is posed a threat. Today,how to effectively deal with spam issues facing the world is a difficult issue, also it is a currently on the Internet problem which is in urgent need to be solve.Although some systems use some traditional spam filtering technologies, but these technologies are a lot of deficiencies. Therefore, the research and design an effective spam filtering system is of great significance.This paper focuses on view of the current massive flood of spam status quo,and studies the large number of anti-spam literature at home and abroad, comprehensive analysis of various popular spam filtering method at home and abroad,especially for collaborative anti-spam method conducted in-depth research. On the basis of comparison and analysis of existing collaborative spam filtering system, a network based on P2P-Chord of collaborative anti-spam system model is presented. The system has two parts: server network and clients. The workflow of system: System CopyRank first be set threshold, through statistics of various spam of CopyRank values in collaborative filtering P2P-Chord network, if statistics of CopyRank value is higher than the threshold be set, the e-mail will be judged spam, contrary to the normal mail. In order to prevent spammers by changing the contents of the e-mail to avoid filters, this paper clients and server were used Nilsimsa and Checksum fingerprint algorithm to generatethe fingerprint to solve the problem. Our client plugin integrated Bayesianian filters, so mail users can filer spam in local, according e-mails in the past without fingerprintswill be sent to the collaborative filtering community, so that a network greatlyreduces the communication overhead. A prototype system-AntiSpam and Outlook 2003 client plugin-AntiSpamClient now are realized at present.The experimental results showthat the system has good spam filtering performance.