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Journal Articles Information Processing and Management Year : 2013

Quantifying paedophile activity in a large P2P system

Matthieu Latapy
Clémence Magnien
Raphaël Fournier

Abstract

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.

Dates and versions

hal-00683046 , version 1 (27-03-2012)

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Matthieu Latapy, Clémence Magnien, Raphaël Fournier. Quantifying paedophile activity in a large P2P system. Information Processing and Management, 2013, 49 (1), pp.248-263. ⟨10.1016/j.ipm.2012.02.008⟩. ⟨hal-00683046⟩
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