A Spam Filtering Method Learning from Web Browsing Behavior

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• 作者：Taiki Takashita ; Tsuyoshi Itokawa ; Teruaki Kitasuka ; Masayoshi Aritsugi
• 刊名：Lecture Notes in Computer Science
• 出版年：2008
• 出版时间：2008
• 年：2008
• 卷：5178
• 期：1
• 页码：774-781
• 全文大小：674.1 KB
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

In this paper a spam filtering method is proposed. We focus on user behavior that most email users browse the Web. The method reduces troublesome maintenance of the spam filter, since the filter learns from Web browsing behavior in the background. The method uses Web browsing behavior of each user to learn ham words. Ham words are picked up from browsed Web pages using TF-IDF and stored in the database called ham words list. For each received email, the method extracts keywords from the email, including Web pages of the URLs. If some keywords are in the ham words list, the email is treated as a ham. In our experiments, several spam emails which cannot be detected by a Bayesian filter are detected as spams.