摘要
随着电子邮件日益广泛的使用,如何有效地避免和防范垃圾邮件的侵扰已成为一个亟待解决的问题.受生物免疫系统自我保护机制的启发,本文提出了一种基于人工免疫的多层垃圾邮件过滤算法,利用分层检测的思想来过滤垃圾邮件.文中给出了针对多层过滤算法中获得性免疫层的垃圾邮件过滤测试实验,实验结果表明本算法在垃圾邮件过滤中能得到较高的召回率、精确率和正确率.文中也指出了可以通过合理地设置各检测器层之间的与或关系来得到更好的垃圾邮件过滤效果.
With the growing use of Email, it is urgent to resolve the severe problem of Spam. Inspired by the selfprotection mechanism of biological immune system, a multilevel Spam filtering algorithm is proposed. Experiments on the acquired immune layer have been presented and the results show that the algorithm can get high grade in recall, precision and accuracy of Spam filtering. It is also noted that better performance can be achieved by properly arranging the relations between the detector layers.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2006年第9期1616-1620,共5页
Acta Electronica Sinica
基金
国家自然科学基金(No.60404004)
