Design And Implementation Of Anti - Spam Gateway System For Enterprises

The by-product spam of E-mail takes up a lot of limited storage, computers and network resources. It Influences and interferes with the the users’ normal work, life and learning. Phishing email is the special spam mail. It deceives the recipient’s account, passwords and other information. The damage is gradually increasing. The Spam has seriously affected the service image of ISP. It is terrible. And it drastically reduce network efficiency. And it occupies the network bandwidth. It is quite difficult to deal with the spam from the source and route of transmission.The subject focus on the damage of spam to the enterprise users. In order to solve the problem of the spam and phishing email what enterprise staff met, it research the function realization of the anti-spam technologies. It is necessary to design and realize enterprise anti-spam gateway system.The subject researches the status of related key technologies, and it focus on the update mechanism of mail filtration technique and filtration classifier. In this paper, the main work is as follows.The subject takes the text categorization method window algorithm of machine learning feedback. It analyzes the mail and filter the mail content automatically by the classifier. And then analyzes features of fishing links. By the flitering method of URL phishing email, combine the similarity of URL domain and white list. It realizes the integrated filter of mail’s fishing links.The paper puts forward the mail classifier updating mechanism of user feedback and honeypot technology. It makes use of honeypot technology to collect the spam. At the same time it extracts the normal mail by the feedback of anti-spam and the enterprise mail. Then gather the regular automatic update classifier mail. The classifier can better determine the category of the new email.The paper researches enterprise’s every module design of Anti-spam gateway system. The foreground contains the function module of Basic Management, Configuration, Quarantine Management, Log Management, etc. And the background contains the part of Master control, module parse, the original mail receiving, mail content analysis, Phishing emails-detecting, email forwarding, honeypot technology, classifier update training. It elaborates the design, realization and test of each module in detail. And it also provides the typical application scenarios.In conclusion, the paper design and realize the enterprise’s anti-spam net system. According to the research of this project’s key technology, it improves the recognition ability of filtering gateway by the filtering accuracy. And it designs the mail classifier updating mechanism of user feedback and honeypot technology. According to the continuous training, it ensures the optimal identify ability of classifier. It promotes the gateway system overall spam recognition rate. This paper can help to filter the enterprise internal mail in time. And it can reduce the occupation of Enterprise network bandwidth. It ensures that the mail server’s stable operation. It also reduces the enterprise network’ s threat of spam and phishing emails.