Filtering Spam Using Fuzzy Expert System
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Full Text |
Pdf |
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Author |
Siham A. M. Almasan, Wadeea A. A. Qaid, Ahmed Khalid, Ibrahim A. A. Alqubati
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ISSN |
2079-8407 |
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On Pages
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655-660
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Volume No. |
6
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Issue No. |
12
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Issue Date |
January 1, 2016 |
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Publishing Date |
January 1, 2016 |
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Keywords |
Spam filtering, spam word ranking, spam classification, fuzzy logic.
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Abstract
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.
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