重复性YouTube垃圾邮件活动的网络分析
Network Analysis of Recurring YouTube Spam Campaigns
摘要：
随着YouTube和Flickr等内容共享网站的普及，它们已成为垃圾邮件、网络钓鱼和恶意软件分发的目标。在YouTube上，垃圾邮件活动可以利用用户发布评论的功能将毫无戒心的用户引导到虚假的电子商务网站。在本文中，我们演示了如何随着时间的推移使用网络图案分析，即通过跟踪指示性网络图案的计数来跟踪这些活动。通过考虑所有图案多达五个节点，我们确定歧视图案，揭示了两个截然不同的垃圾邮件活动策略。其中一种策略使用少量垃圾用户帐户来评论大量视频，而另一种策略则使用大量帐户。我们提出了一个评估，使用主题分析跟踪两个活动匹配这些策略，并确定一些相关的用户帐户。
英文摘要：
As the popularity of content sharing websites such as YouTube and Flickr has increased, they have become targets for spam, phishing and the distribution of malware. On YouTube, the facility for users to post comments can be used by spam campaigns to direct unsuspecting users to bogus e-commerce websites. In this paper, we demonstrate how such campaigns can be tracked over time using network motif profiling, i.e. by tracking counts of indicative network motifs. By considering all motifs of up to five nodes, we identify discriminating motifs that reveal two distinctly different spam campaign strategies. One of these strategies uses a small number of spam user accounts to comment on a large number of videos, whereas a larger number of accounts is used with the other. We present an evaluation that uses motif profiling to track two active campaigns matching these strategies, and identify some of the associated user accounts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
