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SPAM filtering and its realization

HUANG Tao1，XIE Rong2   

  1. 1. Computer Science Department, Zhaoqing University, Zhaoqing 526061, Guangdong;2. South China University of Technology, School of Computer Science & Engineering, Guangzhou 510640
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: HUANG Tao

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Abstract: Aiming to concentrate on SPAM filtering, a filter system against spam named SpamBlocker was designed and implemented. This system integrates inspection technology for filtering spam such as rules-filtering, Bayes classification, virus scanning and black/white list. Furthermore, it adopts the rules of scoring to determine which mail is spam and to provide Bayes classification with samples for improvement by the filtering rules. As a result, it improves the system adaptation of filtering the emerging SPAM.

Key words: Bayes classification , filtering rule, SPAM

CLC Number: 

  • TP311
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