基于树突状细胞算法的垃圾邮件群发检测  

Spam mass sending examination based on dendritic cell algorithm

作　　者：杨超[1] 李子怡[1] 

机构地区：[1]湖北大学计算机与信息工程学院,湖北武汉430062

出　　处：《传感器与微系统》2015年第10期133-136,140,共5页Transducer and Microsystem Technologies

基　　金：湖北省自然科学基金面上资助项目(2014CFB536);湖北省教育厅中青年人才资助项目(Q2015001)

摘　　要：通过分析垃圾邮件的群发特征,结合危险理论的思想,提出了运用树突状细胞算法(DCA)检测垃圾邮件群发现象的方法。该方法从垃圾邮件群发的行为特征入手,对一段时间内垃圾邮件的群发特征进行分析,根据正常和垃圾邮件在群发特征表现上的差异,判断是否为垃圾邮件群发。实验结果表明:该方法能够有效、快速地检测出垃圾邮件群发现象,具有较高的检测率。Through analyzing on mass sending characteristics of spam,combining danger theory,put forward a method that exerts dendritic cell algorithm（ DCA） to examine spam mass sending phenomenon. Beginning with behavior characteristics of spam mass sending,the method analyzes the spam mass sending characteristics for a certain period,according to differences between the norm and the spam on the performance of mass sending characteristics,judge whether it is spam mass sending. Experimental result shows that this method can exam the spam mass sending phenomenon effectively and quickly,which has relatively high examination rate.

关 键 词：垃圾邮件 树突状细胞算法 特征分析 危险理论 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]