首页> 外文学位 >Online fraud economy: Characterization and defense
【24h】

Online fraud economy: Characterization and defense

机译:在线欺诈经济:特征与防御

获取原文
获取原文并翻译 | 示例

摘要

More than three billion people are now connected to the Internet around the world. They manage their finances using online banking, purchase goods using e-commerce websites, entertain themselves by watching movies, news, and video clips online, and stay connected with their friends using Online Social Networks (OSNs). Dangers await them as miscreants are exploiting the heavy use of the Internet the best they can. This dissertation characterizes a few of these dangers and proposes defenses. As people shop online and in brick-and-mortar stores, their credit card information can be stolen and sold on underground markets. Our first contribution in this dissertation is a measurement study of three popular marketplaces that sell stolen credit/debit card information online. We find that these marketplaces are thriving, with revenues ranging between $181K-277K per month in 2015. Carding shops are only one of the vectors of a flourishing underground fraud economy. To gain a better perspective on this economy, for our second contribution, we investigate how cracking tools used to test stolen user credentials for various websites operate and develop classifiers capable of detecting packets generated by them. Further, as Internet users check their email, use online banking, and engage in discussions on OSNs, they can fall prey to phishing. As our next contribution, we study phishing websites to understand characteristics that the phished brands can use to proactively defend themselves. Unlike existing approaches, which find phishing websites without regard for who is being phished, we leverage unique advantage that brands have and discover heuristics that would allow brands to detect as much as 86% of phishing attacks against them. For our final contribution, we engage in the fraudulent video economy for a popular video sharing website. We characterize misbehaving videos and user profiles and develop machine learning algorithms that can detect them.
机译:现在,全世界有超过30亿人连接到Internet。他们使用网上银行管理财务,使用电子商务网站购买商品,在线观看电影,新闻和视频片段来娱乐自己,并使用在线社交网络(OSN)与朋友保持联系。危险等待着他们,因为不法之徒正在竭尽所能地利用Internet的大量使用。本文对其中一些危险进行了表征,并提出了防御措施。当人们在网上和实体商店购物时,他们的信用卡信息可能会被盗并在地下市场上出售。本文的主要贡献是对三个在线销售被盗信用卡/借记卡信息的流行市场进行了研究。我们发现这些市场蓬勃发展,2015年的月收入在$ 181K-277K之间。梳理店只是地下欺诈经济蓬勃发展的媒介之一。为了对这种经济有更好的了解,对于我们的第二个贡献,我们调查了用于测试各种网站的被盗用户凭据的破解工具如何运行,并开发了能够检测由它们生成的数据包的分类器。此外,随着Internet用户检查其电子邮件,使用在线银行业务以及就OSN进行讨论,他们可能成为网络钓鱼的牺牲品。作为我们的下一个贡献,我们研究网络钓鱼网站,以了解网络钓鱼品牌可以用来主动防御自己的特征。与发现网络钓鱼网站而不考虑被钓鱼者的现有方法不同,我们利用品牌拥有的独特优势并发现启发式方法,使品牌可以检测多达86%的针对他们的网络钓鱼攻击。为了做出最后的贡献,我们参与了一个流行的视频共享网站的欺诈性视频经济活动。我们对行为异常的视频和用户个人资料进行表征,并开发可以检测到它们的机器学习算法。

著录项

  • 作者

    Bulakh, Vlad.;

  • 作者单位

    Indiana University.;

  • 授予单位 Indiana University.;
  • 学科 Computer science.;Web studies.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 173 p.
  • 总页数 173
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号