Detecting pedophile activity in bittorrent networks

Authors:
Moshe Rutgaizer;Yuval Shavitt;Omer Vertman;Noa Zilberman
Affiliations:
School of Electrical Engineering, Tel-Aviv University, Israel;School of Electrical Engineering, Tel-Aviv University, Israel;School of Electrical Engineering, Tel-Aviv University, Israel;School of Electrical Engineering, Tel-Aviv University, Israel
Venue:
PAM'12 Proceedings of the 13th international conference on Passive and Active Measurement
Year:
2012

Citing 2
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Abstract

The wide spread of Peer-to-Peer networks makes multimedia files available to users all around the world. However, Peer-to-Peer networks are often used to spread illegal material, while keeping the source of the data and the acquiring users anonymous. In this paper we analyze activity measurements in the BitTorrent network and examine child sex abuse activity through the Mininova web portal. We detect and characterize pedophilic material in the network, and also analyze different aspects of the abusers activity. We hope our results will help law enforcement teams detecting child molesters and tracking them down earlier.