基于遗传算法和发送行为的垃圾邮件检测模型

Spam detecting model based on GA and sending behavior

提出了一个基于遗传算法和发送行为的垃圾邮件检测模型,它通过抽取出可疑垃圾邮件的发送行为特征信息,用遗传算法确定各个特征信息的权重,根据邮件的总权重来判断邮件是否是垃圾邮件。实验结果表明,该模型获得较好的垃圾邮件检测效果。

A spam detecting model based on genetic algorithm（GA） and sending behavior is proposed.Firs,feature information for sending behavior of the suspicion email is extracted.After that,the weight coefficient of each sending behavior is selected by using GA.Finally,the spam is identified according to the total weights of the sending behaviors.The experiment results showed that high performance of spam detecting were achieved by the proposed model.