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Content-based email filtering technology research

Author: WangYan
Tutor: WangJingZhong；WangXiaoZuo
School: North China University of
Course: Computer technology
Keywords: Spam Filtering Bayesian Algorithm kNN Algorithm Improved Rocchio Algorithm
CLC: TP393.098
Type: Master's thesis
Year: 2010
Downloads: 83
Quote: 0
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Abstract


Electronic mail is an efficient and increasingly popular communication medium. It has been developed rapidly that becomes a part of our daily life. As every powerful medium, it is easy to be misused. This misuse, is what we defined junk mail, spam. Junk mail is the mail that is posting of unsolicited to very large number of recipients with harmful. Junk mail is becoming a serious problem, if we do not have way to deal with, junk mail will finally influence the normal e-mails. Anti-spam is a deep-reaching needed practical topic.This article, firstly studied the anti-spam documents and data. Based on certain knowledge, summarized the spam filtering technology research results. In the current studies, there are mainly based on the IP address, rules-based and content-based filtering technology. Existing technology is mainly researched to improve the spam filtering system for its reliability and precise nature.This article focuses on content-based spam filtering technology. Content-based spam filtering technology is done by analyzing the contents of an e-mail to do the filtering. Content-based spam filtering is to filter the text messages, that is, first, pre-processing an e-mail and extract the message body of the text and then using text classification algorithm to detect the spam process. Foreign research scholars has been researched 44 content-based e-mail filtering technology, and indicated the feasibility of this technology. In this paper, e-mail pre-processing and text classification methods are discussed. And this paper also compared a variety of text classification methods, focusing on Bayesian methods and kNN, Rocchio improved algorithm, in-depth analyzed the use of improved algorithm Rocchio methods of spam filtering theory and methods.This article designed and implemented content-based spam e-mail processing system. By using the Forward Maximum Matching Method helps to realize the Chinese words splitter; using the Odds Ratio makes the feature selection and extraction come into realization; using the Rocchio algorithm realizes the classification of E-mail by content. Through system testing, results showed that the improved algorithm will be Rocchio junk e-mail address is used to achieve personalized spam filtering in one effective method.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > The application of computer network > E-mail ( E -mail )
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