计算机科学 ›› 2008, Vol. 35 ›› Issue (4): 60-62.

• • 上一篇    下一篇

基于免疫机制的智能反垃圾邮件过滤器的研究

王磊 董菡 银彩燕   

  1. 西安理工大学计算机科学与工程学院,西安710048
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    国家自然科学基金(the National Natural Science Foundation of China under Grant No. 60603026)

WANG Lei, DONG Han, YIN Cai-Yan (College of Computer Science and Engineering,Xi'an University of Technology,Xi'an 710048)   

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对传统的反垃圾邮件过滤技术不能有效识别未知特征及变异特征的问题,本文借用人工免疫系统的一些原理,通过引入诸如自体耐受、免疫识别、免疫学习、免疫记忆和协同刺激等机制,结合智能决策的思想,运用粗糙集理论提取特征集,更新特征库,提出了一个基于免疫功能的智能反垃圾邮件过滤器。仿真试验表明,该方法能够有效地降低误报率,具有较好的使用效果。

关键词: 邮件过滤 垃圾邮件 粗糙集 人工免疫系统 自适应

Abstract: With regard to the problem that the traditional anti-spam filtering mechanism is incapable of recognizing unbeknown and mutational character, a novel anti-spam filter based on immunity is constructed with employing multiple principles and mechanisms of th

Key words: E-mail filtering,Junk E-mail, Rough set, Artificial immune system, Self-adaptive

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