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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alexa, http://www.alexa.com (accessed: November 17, 2009)
Chopra, M., Martin, M.V., Rueda, L., Hung, P.C.K.: Toward new paradigms to combating internet child pornography. In: CCECE 2006, pp. 1012–1015 (2006)
Fives. Forensics Image and Video Examination Support, http://fives.kau.se/
Gish, A.S., Shavitt, Y., Tankel, T.: Geographical statistics and characteristics of p2p query strings. In: IPTPS 2007 (2007)
Hughes, D., Gibson, S., Walkerdine, J., Coulson, G.: Is deviant behaviour the norm on p2p file sharing networks? IEEE Distributed Systems Online 7 (2006)
isoHunt. isoHunt Zeitgeist, http://ca.isohunt.com/ (accessed: April 2011)
Jansohn, C., Ulges, A., Breuel, T.: Detecting pornographic video content by combining image features with motion information. In: Proceedings of the International Conference on Multimedia. ACM (October 2009)
Latapy, M., Magnien, C., Fournier, R.: Quantifying paedophile queries in a large p2p system. In: IEEE Infocom Mini-Conference (2011)
Liberatore, M., Erdely, R., Kerle, T., Levine, B.N., Shields, C.: Forensic Investigation of Peer-to-Peer File Sharing Networks. In: Proc. DFRWS Annual Digital Forensics Research Conference (August 2010)
Lynn, C.: Image Recognition Takes Another Step Forward. Seybold Report (2004)
MAPAP. Measurement and Analysis of P2P activity Against Paedophile content, http://ec.europa.eu/information_society/activities/sip/projects/completed/illeg_content/index_en.html
Mininova, http://www.mininova.org/
Mochalski, K., Schulze, H.: Ipoque internet study 2008/2009 (2009)
Ropelato, J.: Internet pornography statistics. TopTenReviews (2007)
TopTenReviews. Porn industry statistics (February 6, 2004), http://www.toptenreviews.com/2-6-04.html
Urban Dictionary, http://www.urbandictionary.com/ (accessed: February 2011)
Vehovar, V., Ziberna, A., Kovacic, M., Mrvar, A., Dousak, M.: An empirical investigation of paedophile keywords in edonkey p2p network. tech. report (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rutgaizer, M., Shavitt, Y., Vertman, O., Zilberman, N. (2012). Detecting Pedophile Activity in BitTorrent Networks. In: Taft, N., Ricciato, F. (eds) Passive and Active Measurement. PAM 2012. Lecture Notes in Computer Science, vol 7192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28537-0_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-28537-0_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28536-3
Online ISBN: 978-3-642-28537-0
eBook Packages: Computer ScienceComputer Science (R0)