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Botnet Judo: Fighting Spam with Itself

机译:僵尸网络柔道:自己与垃圾邮件作斗争

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摘要

We have traditionally viewed spam from the receiver'srnpoint of view: mail servers assaulted by a barrage of spamrnfrom which we must pick out a handful of legitimate messages.rnIn this paper we describe a system for better filteringrnspam by exploiting the vantage point of the spammer. Byrninstantiating and monitoring botnet hosts in a controlledrnenvironment, we are able to monitor new spam as it is created,rnand consequently infer the underlying template usedrnto generate polymorphic e-mail messages. We demonstraternthis approach on mail traces from a range of modern botnetsrnand show that we can automatically filter such spamrnprecisely and with virtually no false positives.
机译:传统上,我们从接收者的角度查看垃圾邮件:受大量垃圾邮件攻击的邮件服务器,我们必须从中挑选出一些合法的邮件。在本文中,我们描述了一种利用垃圾邮件制造者的优势来更好地过滤垃圾邮件的系统。通过在受控环境中实例化和监视僵尸网络主机,我们能够监视新垃圾邮件的创建,从而推断出用于生成多态电子邮件的基础模板。我们在一系列现代僵尸网络的邮件跟踪中演示了这种方法,并表明我们可以精确地自动过滤此类垃圾邮件,并且几乎没有误报。

著录项

  • 来源
  • 会议地点 San Diego CA(US);San Diego CA(US);San Diego CA(US)
  • 作者单位

    Dept. of Computer Science and Engineering University of California, San Diego, USA apitsill@cs.ucsd.edu;

    rnDept. of Computer Science and Engineering University of California, San Diego, USA klevchen@cs.ucsd.edu;

    rnInternational Computer Science Institute Berkeley, USA christian@icir.org;

    rnDept. of Computer Science and Engineering University of California, San Diego, USA ckanich@cs.ucsd.edu;

    rnDept. of Computer Science and Engineering University of California, San Diego, USA voelker@cs.ucsd.edu;

    rnInternational Computer Science Institute Berkeley, USA vern@cs.berkeley.edu;

    rnInternational Computer Science Institute Berkeley, USA nweaver@cs.berkeley.edu;

    rnDept. of Computer Science and Engineering University of California, San Diego, USA savage@cs.ucsd.edu;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 安全保密;
  • 关键词

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