Faiblesses de l'identification dans les espaces numériques ouverts de partage de contenus : le cas des réseaux pair-à-pair
Identifieur interne : 000B73 ( Main/Exploration ); précédent : 000B72; suivant : 000B74Faiblesses de l'identification dans les espaces numériques ouverts de partage de contenus : le cas des réseaux pair-à-pair
Auteurs : Thibault Cholez [France] ; Guillaume Doyen [France] ; Isabelle Chrisment [France] ; Olivier Festor [France] ; Rida Khatoun [France]Source :
Descripteurs français
- mix :
Abstract
Ce chapitre présente les résultats de travaux portant sur la détection et la quantification des problèmes de sécurité induits par l'absence d'identification fiable des pairs et des contenus dans les réseaux P2P de partage de fichiers. Pour cela, nous avons réalisé des explorations d'un réseau P2P largement déployé afin de recenser précisément l'ensemble des pairs et des contenus partagés les plus populaires. Nous avons ensuite analysé les données obtenues afin de détecter les activités suspectes exploitant la faiblesse de l'identification. Ainsi avons-nous constaté pour la première fois la réalité et l'ampleur de certaines attaques publiées et pouvons-nous estimer leur nombre au sein du réseau. Concernant les contenus, nous détectons si ceux-ci sont pollués en étudiant la disparité lexicale des noms proposés par les différents pairs et nous appliquons cette détection afin de quantifier la pollution à l'échelle du réseau.
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Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 005C36
- to stream Hal, to step Curation: 005C36
- to stream Hal, to step Checkpoint: 000B14
- to stream Main, to step Merge: 000B79
- to stream Main, to step Curation: 000B73
Le document en format XML
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CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Festor, Olivier" sort="Festor, Olivier" uniqKey="Festor O" first="Olivier" last="Festor">Olivier Festor</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-205122" status="VALID"><idno type="RNSR">200418297A</idno><orgName>Management of dynamic networks and services</orgName><orgName type="acronym">MADYNES</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inria.fr/equipes/madynes</ref></desc><listRelation><relation active="#struct-129671" type="direct"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-423085" type="direct"></relation><relation active="#struct-206040" type="indirect"></relation><relation active="#struct-413289" type="indirect"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation></listRelation><tutelles><tutelle active="#struct-129671" type="direct"><org type="laboratory" xml:id="struct-129671" status="VALID"><idno type="RNSR">198618246Y</idno><orgName>INRIA Nancy - 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CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Khatoun, Rida" sort="Khatoun, Rida" uniqKey="Khatoun R" first="Rida" last="Khatoun">Rida Khatoun</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-394891" status="INCOMING"><orgName>ERA</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-93484" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-93484" type="direct"><org type="institution" xml:id="struct-93484" status="VALID"><orgName>Université de Technologie Troyes [Troyes]</orgName><orgName type="acronym">UTT</orgName><desc><address><addrLine>12 rue Marie CurieCS 4206010004 TROYES CEDEX</addrLine><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>attaque Sybil</term><term>détection</term><term>pollution</term><term>réseaux P2P</term><term>supervision</term><term>sécurité</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">Ce chapitre présente les résultats de travaux portant sur la détection et la quantification des problèmes de sécurité induits par l'absence d'identification fiable des pairs et des contenus dans les réseaux P2P de partage de fichiers. Pour cela, nous avons réalisé des explorations d'un réseau P2P largement déployé afin de recenser précisément l'ensemble des pairs et des contenus partagés les plus populaires. Nous avons ensuite analysé les données obtenues afin de détecter les activités suspectes exploitant la faiblesse de l'identification. Ainsi avons-nous constaté pour la première fois la réalité et l'ampleur de certaines attaques publiées et pouvons-nous estimer leur nombre au sein du réseau. Concernant les contenus, nous détectons si ceux-ci sont pollués en étudiant la disparité lexicale des noms proposés par les différents pairs et nous appliquons cette détection afin de quantifier la pollution à l'échelle du réseau.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Cholez, Thibault" sort="Cholez, Thibault" uniqKey="Cholez T" first="Thibault" last="Cholez">Thibault Cholez</name></region><name sortKey="Chrisment, Isabelle" sort="Chrisment, Isabelle" uniqKey="Chrisment I" first="Isabelle" last="Chrisment">Isabelle Chrisment</name><name sortKey="Doyen, Guillaume" sort="Doyen, Guillaume" uniqKey="Doyen G" first="Guillaume" last="Doyen">Guillaume Doyen</name><name sortKey="Festor, Olivier" sort="Festor, Olivier" uniqKey="Festor O" first="Olivier" last="Festor">Olivier Festor</name><name sortKey="Khatoun, Rida" sort="Khatoun, Rida" uniqKey="Khatoun R" first="Rida" last="Khatoun">Rida Khatoun</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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