Detecting pedophile activity in BitTorrent networks

Moshe Rutgaizer; Yuval Shavitt; Omer Vertman; Noa Zilberman

doi:10.1007/978-3-642-28537-0_11

Detecting pedophile activity in BitTorrent networks

Moshe Rutgaizer, Yuval Shavitt, Omer Vertman, Noa Zilberman

School of Electrical Engineering

Tel Aviv University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Passive and Active Measurement - 13th International Conference, PAM 2012, Proceedings
Pages	106-115
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-28537-0_11
State	Published - 2012
Event	13th International Conference on Passive and Active Measurement, PAM 2012 - Vienna, Austria Duration: 12 Mar 2012 → 14 Mar 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7192 LNCS

Conference

Conference	13th International Conference on Passive and Active Measurement, PAM 2012
Country/Territory	Austria
City	Vienna
Period	12/03/12 → 14/03/12

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-642-28537-0_11

Cite this

Rutgaizer, M., Shavitt, Y., Vertman, O., & Zilberman, N. (2012). Detecting pedophile activity in BitTorrent networks. In Passive and Active Measurement - 13th International Conference, PAM 2012, Proceedings (pp. 106-115). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7192 LNCS). https://doi.org/10.1007/978-3-642-28537-0_11

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title = "Detecting pedophile activity in BitTorrent networks",

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.",

author = "Moshe Rutgaizer and Yuval Shavitt and Omer Vertman and Noa Zilberman",

year = "2012",

doi = "10.1007/978-3-642-28537-0_11",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "106--115",

booktitle = "Passive and Active Measurement - 13th International Conference, PAM 2012, Proceedings",

note = "13th International Conference on Passive and Active Measurement, PAM 2012 ; Conference date: 12-03-2012 Through 14-03-2012",

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Rutgaizer, M, Shavitt, Y, Vertman, O & Zilberman, N 2012, Detecting pedophile activity in BitTorrent networks. in Passive and Active Measurement - 13th International Conference, PAM 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7192 LNCS, pp. 106-115, 13th International Conference on Passive and Active Measurement, PAM 2012, Vienna, Austria, 12/03/12. https://doi.org/10.1007/978-3-642-28537-0_11

Detecting pedophile activity in BitTorrent networks. / Rutgaizer, Moshe; Shavitt, Yuval; Vertman, Omer et al.
Passive and Active Measurement - 13th International Conference, PAM 2012, Proceedings. 2012. p. 106-115 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7192 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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Rutgaizer M, Shavitt Y, Vertman O, Zilberman N. Detecting pedophile activity in BitTorrent networks. In Passive and Active Measurement - 13th International Conference, PAM 2012, Proceedings. 2012. p. 106-115. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-28537-0_11

Detecting pedophile activity in BitTorrent networks

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Publication series

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All Science Journal Classification (ASJC) codes

UN SDGs

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