A Management Platform for Tracking Cyber Predators in Peer-to-Peer Networks
Identifieur interne : 004F02 ( Main/Exploration ); précédent : 004F01; suivant : 004F03A Management Platform for Tracking Cyber Predators in Peer-to-Peer Networks
Auteurs : Rémi Badonnel [France] ; Radu State [France] ; Isabelle Chrisment [France] ; Olivier Festor [France]Source :
English descriptors
Abstract
Peer-to-peer (p2p) networks have become a privileged communication infrastructure for file sharing applications. However, it can also provide support for cybercriminality activities performed by organized criminal groups that can voluntarily propagate strongly undesirable contents. We propose in this paper a management platform capable of tracking and identifying such cyberpredators in peer-to-peer networks. We describe the architecture consisting of a set of configurable honeypot agents and detail how a honeypot is capable of advertising strongly undesirable contents and of detecting network users that attempt to acquire them. The distributed tracking solution is experimented through an implementation prototype in realistic scenarios.
Url:
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
Links toward previous steps (curation, corpus...)
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- to stream Hal, to step Curation: 000291
- to stream Hal, to step Checkpoint: 003E14
- to stream Main, to step Merge: 005067
- to stream Main, to step Curation: 004F02
Le document en format XML
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Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-300291" type="indirect"><org type="institution" xml:id="struct-300291" status="OLD"><orgName>Université Henri Poincaré - Nancy 1</orgName><orgName type="acronym">UHP</orgName><date type="end">2011-12-31</date><desc><address><addrLine>24-30 rue Lionnois, BP 60120, 54 003 NANCY cedex, France</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300292" type="indirect"><org type="institution" xml:id="struct-300292" status="OLD"><orgName>Université Nancy 2</orgName><date type="end">2011-12-31</date><desc><address><addrLine>91 avenue de la Libération, BP 454, 54001 Nancy cedex</addrLine><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-300293" type="indirect"><org type="institution" xml:id="struct-300293" status="OLD"><orgName>Institut National Polytechnique de Lorraine</orgName><orgName type="acronym">INPL</orgName><date type="end">2011-12-31</date><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-2496" type="direct"><org type="laboratory" xml:id="struct-2496" status="OLD"><orgName>INRIA Lorraine</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Honeypots</term><term>Network Management</term><term>Peer-To-Peer Networks</term><term>Security</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Peer-to-peer (p2p) networks have become a privileged communication infrastructure for file sharing applications. However, it can also provide support for cybercriminality activities performed by organized criminal groups that can voluntarily propagate strongly undesirable contents. We propose in this paper a management platform capable of tracking and identifying such cyberpredators in peer-to-peer networks. We describe the architecture consisting of a set of configurable honeypot agents and detail how a honeypot is capable of advertising strongly undesirable contents and of detecting network users that attempt to acquire them. The distributed tracking solution is experimented through an implementation prototype in realistic scenarios.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Badonnel, Remi" sort="Badonnel, Remi" uniqKey="Badonnel R" first="Rémi" last="Badonnel">Rémi Badonnel</name></region><name sortKey="Chrisment, Isabelle" sort="Chrisment, Isabelle" uniqKey="Chrisment I" first="Isabelle" last="Chrisment">Isabelle Chrisment</name><name sortKey="Festor, Olivier" sort="Festor, Olivier" uniqKey="Festor O" first="Olivier" last="Festor">Olivier Festor</name><name sortKey="State, Radu" sort="State, Radu" uniqKey="State R" first="Radu" last="State">Radu State</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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