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  • 标题:Filtering Spam Using Fuzzy Expert System
  • 本地全文:下载
  • 作者:Siham A. M. Almasan ; Wadeea A. A. Qaid ; Ahmed Khalid
  • 期刊名称:Journal of Emerging Trends in Computing and Information Sciences
  • 电子版ISSN:2079-8407
  • 出版年度:2016
  • 卷号:6
  • 期号:12
  • 页码:655-660
  • 出版社:ARPN Publishers
  • 摘要:The rapid growth of users in the Internet and the abuse of e-mail by unsolicited users cause an exponential increase of spam in user mailboxes.. The techniques currently used by most anti-spam software are static; spammers simply examine the latest anti-spam techniques and find ways how to rip them off. This paper presents a fuzzy expert system to detect spam. Considering the pre-processing of the subject, content, the sender’s email address and attachments of the email to be ranked by using common spam words list. These ranked items represent the input variables for the proposed system, which classify the email as spam or not. The fuzzy expert system performs to filter the spam and gives good results in terms of spam recall and precision.
  • 关键词:Spam filtering; spam word ranking; spam classification; fuzzy logic.
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