A Novel Method to Detect Junk Mail Traffic

Qiang Li, Baoliang Mu
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引用次数: 2

Abstract

This paper proposes a junk mail or spam detection technique called ASCI (Abnormal SMTP Command Identification), which allows network administrators to cut off some spam traffic on email delivery. Our insight is that spamware usually generate special or abnormal packets deviating SMTP protocol for high throughout, while good users never do it. This characterization can be used to detect spam. ASCI is applied to two different volumes of email traffic data captured respectively near an email gateway and at a country-edged core router of a large commercial Internet Service Provider in China. Experimental results indicate that the method is effective and practical, with at least 11.4% reduction of email traffic for unwanted traffic
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一种检测垃圾邮件的新方法
本文提出了一种称为ASCI(异常SMTP命令识别)的垃圾邮件或垃圾邮件检测技术,它允许网络管理员在电子邮件发送时切断一些垃圾邮件流量。我们的见解是,垃圾软件通常会在高流量时生成偏离SMTP协议的特殊或异常数据包,而好的用户从不这样做。这种特征可以用来检测垃圾邮件。ASCI应用于在中国一家大型商业互联网服务提供商的电子邮件网关附近和国家边缘核心路由器上捕获的两种不同数量的电子邮件流量数据。实验结果表明,该方法是有效和实用的,减少了至少11.4%的邮件流量
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