Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (14): 159-162.

• 数据库、信号与信息处理 • Previous Articles     Next Articles

Danger theory based junk mail dynamic filtering system

WANG Su-fang1,WANG Xiao-wei2   

  1. 1.Department of Computer & Information Engineering,Jiaozuo Teachers College,Jiaozuo,Henan 454001,China
    2.Modern Education Technology Center,College of Physical Education,Zhengzhou University,Zhengzhou 450052,China
  • Received:2007-08-27 Revised:2007-12-27 Online:2008-05-11 Published:2008-05-11
  • Contact: WANG Su-fang1



  1. 1.焦作师专 计算机与信息工程系,河南 焦作 454001
    2.郑州大学 体育学院 现代教育技术中心,郑州 450052
  • 通讯作者: 王素芳

Abstract: In this paper,danger theory based dynamic junk mail auto filtering system DTDEF is realized,which has the characteristic of dynamic,self-adaptation,and validity of classification.The basic model and its main algorithm is described in detail,then the experiments show that this model has more validity and dynamic than Bayes,comparing with the Bayes algorithm.

Key words: artificial immune system, real time black and white list, danger theory, email filter

摘要: 基于危险理论,建立了一个垃圾邮件过滤模型DTDEF,对过滤垃圾邮件具有一定的动态性、学习的自适应性和分类的有效性,给出了该模型的基本架构及其具体实现算法,并通过与Bayes算法比较,表明该模型相对Bayes方法在邮件过滤时具有更好的动态性和有效性。

关键词: 人工免疫系统, 实时黑白名单, 危险理论, 邮件过滤