在大型P2P系统中定量恋童癖活动
Quantifying Paedophile Activity in a Large P2P System
摘要：
越来越多的人了解P2P系统中的恋童癖活动是一个至关重要的社会问题，对儿童保护，政策制定和互联网监管产生重要影响。然而，由于缺乏P2P交易的痕迹和严格的分析方法，目前对这一活动的了解仍然非常有限。我们在这里考虑一个广泛使用的P2P系统，电驴，并专注于两个关键的统计数据：恋童癖查询的分数进入系统和进入这样的查询的用户的分数。我们收集了数亿个基于关键字的查询;我们设计了一个恋童癖查询检测工具，我们使用专家评估建立了假阳性和假阴性率;使用这个工具和这些比率，我们估计了恋童癖查询在我们数据中的比例;最后，我们设计并应用了量化输入此类查询的用户的方法。我们的结论是，大约0.25%的查询是恋童癖，超过0.2%的用户输入这样的查询。这些统计数据是迄今为止在这一领域获得的最精确和最可靠的。
英文摘要：
Increasing knowledge of paedophile activity in P2P systems is a crucial societal concern, with important consequences on child protection, policy making, and internet regulation. Because of a lack of traces of P2P exchanges and rigorous analysis methodology, however, current knowledge of this activity remains very limited. We consider here a widely used P2P system, eDonkey, and focus on two key statistics: the fraction of paedophile queries entered in the system and the fraction of users who entered such queries. We collect hundreds of millions of keyword-based queries; we design a paedophile query detection tool for which we establish false positive and false negative rates using assessment by experts; with this tool and these rates, we then estimate the fraction of paedophile queries in our data; finally, we design and apply methods for quantifying users who entered such queries. We conclude that approximately 0.25% of queries are paedophile, and that more than 0.2% of users enter such queries. These statistics are by far the most precise and reliable ever obtained in this domain.
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。
