识别YouTube垃圾邮件中的鉴别性网络模体
Identifying Discriminating Network Motifs in YouTube Spam
摘要：
与其他社交媒体网站一样，YouTube也无法免受垃圾邮件发送者的关注。特别是，可以找到试图将用户吸引到恶意第三方网站的证据。由于这种类型的垃圾邮件通常与精心策划的活动相关联，因此它具有可识别的网络签名，该签名基于从用户发布到视频的评论中导出的网络。在本文中，我们研究了不同的YouTube垃圾邮件活动的这种性质的例子，并使用特征选择过程来识别网络图案的特点，相应的运动策略。我们演示了如何将这些歧视图案可以被用作网络图案分析过程的一部分，该过程随着时间的推移跟踪垃圾邮件用户帐户的活动，使该过程能够扩展到更大的网络。
英文摘要：
Like other social media websites, YouTube is not immune from the attention of spammers. In particular, evidence can be found of attempts to attract users to malicious third-party websites. As this type of spam is often associated with orchestrated campaigns, it has a discernible network signature, based on networks derived from comments posted by users to videos. In this paper, we examine examples of different YouTube spam campaigns of this nature, and use a feature selection process to identify network motifs that are characteristic of the corresponding campaign strategies. We demonstrate how these discriminating motifs can be used as part of a network motif profiling process that tracks the activity of spam user accounts over time, enabling the process to scale to larger networks.
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。
