A Novel Method to Detect Junk Mail Traffic

Qiang Li, Baoliang Mu
{"title":"A Novel Method to Detect Junk Mail Traffic","authors":"Qiang Li, Baoliang Mu","doi":"10.1109/HIS.2009.239","DOIUrl":null,"url":null,"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","PeriodicalId":414085,"journal":{"name":"2009 Ninth International Conference on Hybrid Intelligent Systems","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Ninth International Conference on Hybrid Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HIS.2009.239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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
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
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信