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背景和比特币:揭露人口贩子

Backpage and Bitcoin: Uncovering Human Traffickers
课程网址: https://videolectures.net/videos/kdd2017_portnoff_human_trafficke...  
主讲教师: Rebecca Sorla Portnoff
开课单位: KDD 2017研讨会
开课时间: 2017-10-09
课程语种: 英语
中文简介:
贩卖性的在线分类广告网站被人口贩子广泛用于支持他们的恶性业务。广告的数量之多使得人工探索和分析无法扩展。此外,辨别广告是宣传被贩运的受害者还是独立的性工作者是一项非常困难的任务。这个领域几乎没有具体的事实(即,明确知道是贩运者发布的广告)。在这项工作中,我们开发了可以单独使用或结合使用的工具和技术,由其真实所有者(而不是广告中声称的作者)对性广告进行分组。具体来说,我们开发了一种机器学习分类器,该分类器使用风格来区分同一作者发布的广告和不同作者发布的具有90%TPR和1%FPR的广告。我们还设计了一种链接技术,利用比特币内存池、区块链和性广告网站的漏洞,将一部分性广告链接到比特币公共钱包和交易。最后,我们通过使用Backpage作为性广告网站的为期4周的概念验证,演示了分析师如何使用这些自动化方法来寻找潜在的人口贩子。
课程简介: Sites for online classified ads selling sex are widely used by human traffickers to support their pernicious business. The sheer quantity of ads makes manual exploration and analysis unscalable. In addition, discerning whether an ad is advertising a trafficked victim or an independent sex worker is a very difficult task. Very little concrete ground truth (i.e., ads definitively known to be posted by a trafficker) exists in this space. In this work, we develop tools and techniques that can be used separately and in conjunction to group sex ads by their true owner (and not the claimed author in the ad). Specifically, we develop a machine learning classifier that uses stylometry to distinguish between ads posted by the same vs. different authors with 90% TPR and 1% FPR. We also design a linking technique that takes advantage of leakages from the Bitcoin mempool, blockchain and sex ad site, to link a subset of sex ads to Bitcoin public wallets and transactions. Finally, we demonstrate via a 4-week proof of concept using Backpage as the sex ad site, how an analyst can use these automated approaches to potentially find human traffickers.
关 键 词: 恶性业务; 人工探索; 机器学习分类器
课程来源: 视频讲座网
数据采集: 2024-12-25:liyq
最后编审: 2024-12-25:liyq
阅读次数: 12