Comparing Pedophile Activity in Different P2P Systems
Identifieur interne : 000A55 ( Main/Exploration ); précédent : 000A54; suivant : 000A56Comparing Pedophile Activity in Different P2P Systems
Auteurs : Raphaël Fournier [France] ; Thibault Cholez [France] ; Matthieu Latapy [France] ; Isabelle Chrisment [France] ; Clémence Magnien [France] ; Olivier Festor [France] ; Ivan Daniloff [France]Source :
- Social Sciences- Russian Academy of Sciences [ 0134-5486 ] ; 2014-07-01.
English descriptors
- mix :
Abstract
Peer-to-peer (P2P) systems are widely used to exchange content over the Internet. Knowledge of pedophile activity in such networks remains limited, despite having important social consequences. Moreover, though there are different P2P systems in use, previous academic works on this topic focused on one system at a time and their results are not directly comparable. We design a methodology for comparing KAD and eDonkey, two P2P systems among the most prominent ones and with different anonymity levels. We monitor two eDonkey servers and the KAD network during several days and record hundreds of thousands of keyword-based queries. We detect pedophile-related queries with a previously validated tool and we propose, for the first time, a large-scale comparison of pedophile activity in two different P2P systems. We conclude that there are significantly fewer pedophile queries in KAD than in eDonkey (approximately 0.09% vs. 0.25%).
Url:
DOI: 10.3390/socsci3030314
Affiliations:
- France
- Grand Est, Lorraine (région), Île-de-France
- Metz, Nancy, Paris
- Université Paris 13, Université de Lorraine
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Le document en format XML
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<desc><address><addrLine>34 cours Léopold - CS 25233 - 54052 Nancy cedex</addrLine>
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<country>France</country>
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<author><name sortKey="Daniloff, Ivan" sort="Daniloff, Ivan" uniqKey="Daniloff I" first="Ivan" last="Daniloff">Ivan Daniloff</name>
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<idno type="DOI">10.3390/socsci3030314</idno>
<series><title level="j">Social Sciences- Russian Academy of Sciences</title>
<idno type="ISSN">0134-5486</idno>
<imprint><date type="datePub">2014-07-01</date>
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<profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>P2P networks</term>
<term>eDonkey</term>
<term>pedophile activity</term>
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<front><div type="abstract" xml:lang="en">Peer-to-peer (P2P) systems are widely used to exchange content over the Internet. Knowledge of pedophile activity in such networks remains limited, despite having important social consequences. Moreover, though there are different P2P systems in use, previous academic works on this topic focused on one system at a time and their results are not directly comparable. We design a methodology for comparing KAD and eDonkey, two P2P systems among the most prominent ones and with different anonymity levels. We monitor two eDonkey servers and the KAD network during several days and record hundreds of thousands of keyword-based queries. We detect pedophile-related queries with a previously validated tool and we propose, for the first time, a large-scale comparison of pedophile activity in two different P2P systems. We conclude that there are significantly fewer pedophile queries in KAD than in eDonkey (approximately 0.09% vs. 0.25%).</div>
</front>
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<li>Île-de-France</li>
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<li>Paris</li>
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<orgName><li>Université Paris 13</li>
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<tree><country name="France"><region name="Île-de-France"><name sortKey="Fournier, Raphael" sort="Fournier, Raphael" uniqKey="Fournier R" first="Raphaël" last="Fournier">Raphaël Fournier</name>
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<name sortKey="Cholez, Thibault" sort="Cholez, Thibault" uniqKey="Cholez T" first="Thibault" last="Cholez">Thibault Cholez</name>
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<name sortKey="Latapy, Matthieu" sort="Latapy, Matthieu" uniqKey="Latapy M" first="Matthieu" last="Latapy">Matthieu Latapy</name>
<name sortKey="Magnien, Clemence" sort="Magnien, Clemence" uniqKey="Magnien C" first="Clémence" last="Magnien">Clémence Magnien</name>
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