Detecting Pedophile Activity in BitTorrent Networks

Rutgaizer, Moshe; Shavitt, Yuval; Vertman, Omer; Zilberman, Noa

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

Cited by 14 publications

(9 citation statements)

References 5 publications

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“…Piracy websites are known to provide links to CEM [8]. In a longitudinal study, Prichard et al [9] found that the term "pthc" (pre-teen hardcore) was consistently more frequently searched for than Harry Potter movies on what was the then #2 most popular torrent site. Other studies have consistently linked piracy sites and CEM [9].…”

Section: Links To Child Exploitation Materialsmentioning

confidence: 99%

“…This category or genre of manga is known to depict simulated sexual acts between adults and children, between children or between children and animals. In many countries, such as the United States and the United Kingdom, obscenity laws cover the depiction of child sexual abuse in cartoon format; in a highly-publicised case, Christopher Handley, an American citizen, pleaded guilty to possessing manga books depicting child sex abuse, even though he possessed no other types of CEM 9 . He received a sentence of 6 months.…”

Section: Links To Child Exploitation Materialsmentioning

confidence: 99%

“…Yet in Japan, while the possession of CEM has recently been criminalized, it only concerns materials where "real children are being depicted", therefore this does not cover CEM in manga. 10 The UN Special Rapporteur on the sale of children, child prostitution and child pornography recently urged the Japanese authorities to outlaw 9 http://www.wired.com/2009/05/manga-porn/ 10 http://www.aljazeera.com/indepth/opinion/2014/08/ma nga-anime-japan-still-treatin-201484145420634173.html manga containing extreme child pornographic content. 11 In the study of the most complained about sites, a number of manga piracy sites appear in the Top 100 (including mangapark.me, ranked #23).…”

Section: Links To Child Exploitation Materialsmentioning

confidence: 99%

“…To illustrate, one of the terms used by Fournier et al [9] in their analysis of the CEM peer-topeer ecosystem, was used in this study to seed an image search on a popular search engine. This returned many results which contained links to piracy sites.…”

Section: Links To Child Exploitation Materialsmentioning

confidence: 99%

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Investigating Malware Epidemiology and Child Exploitation Using Algorithmic Ethnography

Watters

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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A number of recent studies have investigated the role that advertising plays in funding and sustaining piracy sites. In this study, the composition of advertising on piracy websites hosting Child Exploitation Material (CEM) in Brazil was analysed, measuring both mainstream and "high-risk" ads 1 using samples generated from the most-complained about sites, as well as the most popular sites, using algorithmic ethnography. The results indicated that high-risk ads pose significant problems for Brazilian users, especially children, who may be harmed by exposure to ads promoting the sex industry, gambling, scams and malware. Links between Brazil-focused piracy websites and CEM are documented. Policy options for dealing with this issue are discussed. CEM poses a threat not only to the children depicted in it but also to children who might be exposed to it. Indeed, any viewer who is exposed to CEM may experience adverse psychological and behavioral consequences.

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Section: Links To Child Exploitation Materialsmentioning

confidence: 99%

Section: Links To Child Exploitation Materialsmentioning

confidence: 99%

Section: Links To Child Exploitation Materialsmentioning

confidence: 99%

Section: Links To Child Exploitation Materialsmentioning

confidence: 99%

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Investigating Malware Epidemiology and Child Exploitation Using Algorithmic Ethnography

Watters

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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“…It leads to the collection of very large scale datasets and the design of a semantic filter, the performances of which were assessed by world-wide experts in the domain [LMF12]. These authors have then realized experiments to obtain reliable estimates of the fraction of pedophile queries, which were completed by another team on different networks [RSVZ12].…”

Section: Introductionmentioning

confidence: 99%

Mining bipartite graphs to improve semantic pedophile activity detection

Fournier¹,

Danisch²

2014

2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS)

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International audiencePeer-to-peer (P2P) networks are popular to exchange large volumes of data through the Internet. Paedophile activity is a very important topic for our society and some works have recently attempted to gauge the extent of paedophile exchanges on P2P networks. A key issue is to obtain an efficient detection tool, which may decide if a sequence of keywords is related to the topic or not. We propose to use social network analysis in a large dataset from a P2P network to improve a state-of-the-art filter for paedophile queries. We obtain queries and thus combinations of words which are not tagged by the filter but should be. We also perform some experiments to explore if the original four categories of paedophile queries were to be found by topological measures only

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