人工免疫原理在邮件过滤中的应用

Application of Artificial Immune Theory in Email Filtering

分析在垃圾邮件过滤中应用人工免疫原理的可行性,对应用中的的关键环节和算法进行了深入研究,并实现了基于人工免疫原理的邮件过滤器AISEF。利用SpamAssassin的邮件样本集进行训练和变异样本集进行识别测试,实验结果表明,对具有变异特性的垃圾邮件,AISEF具有比Bayes过滤器更好的适应性和稳定性。

This paper analyzes the feasibility of applying artificial immune theory in Email filtering and describes the algorithms and used in the process of a email filter based on artificial immune principle（AISEF）.The result of experiment shows that the AISEF possesses better adaptability and stability than the filter based on Bayes method to the mutative spams.