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An Exploration of the Identifying Characteristics of Spam Campaign Address Lists.

机译:垃圾邮件活动地址列表识别特征的探索。

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摘要

In this paper, email addresses targeted by several botnets including Grum, MegaD, Pushdo, Rustock, Srizbi, and Storm are analyzed for two goals. These addresses are organized into various lists which were gathered from these botnets. The first goal of this analysis is to determine how each botnet collected the addresses they send spam to solely from the addresses in the lists. This is performed using Google searches, by reviewing the duplicated and invalid addresses within each list, and by examining the addresses shared between lists.;The second goal is to determine if a classifier can be created from the domain distributions of the addresses in these lists. This classifier must be able to correctly identify the source botnet from a set of targeted addresses and must correctly distinguish between botnets. The top-level (TLD), country-code (ccTLD), and registered domain distributions will be used in this analysis.
机译:在本文中,分析了包括Grum,MegaD,Pushdo,Rustock,Srizbi和Storm在内的多个僵尸网络所针对的电子邮件地址,以实现两个目标。这些地址被组织成从这些僵尸网络收集的各种列表。该分析的第一个目标是确定每个僵尸网络如何仅从列表中的地址收集它们向其发送垃圾邮件的地址。这是通过Google搜索来执行的,方法是查看每个列表中重复的和无效的地址,并检查列表之间共享的地址。第二个目标是确定是否可以从这些列表中地址的域分布中创建分类器。该分类器必须能够从一组目标地址中正确识别源僵尸网络,并且必须正确区分僵尸网络。此分析将使用顶级(TLD),国家/地区代码(ccTLD)和注册的域分布。

著录项

  • 作者单位

    University of California, San Diego.;

  • 授予单位 University of California, San Diego.;
  • 学科 Computer Science.;Business Administration Marketing.;Multimedia Communications.
  • 学位 M.S.
  • 年度 2015
  • 页码 135 p.
  • 总页数 135
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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