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Content Pollution Quantification in Large P2P networks : a Measurement Study on KAD

Guillaume Montassier 1 Thibault Cholez 1 Guillaume Doyen 1 Rida Khatoun 1 Isabelle Chrisment 2 Olivier Festor 2 
1 ERA - Environnement de Réseaux Autonomes
ICD - Institut Charles Delaunay
2 MADYNES - Management of dynamic networks and services
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Content pollution is one of the major issues affecting P2P file sharing networks. However, since early studies on FastTrack and Overnet, no recent investigation has reported its impact on current P2P networks. In this paper, we present a method and the supporting architecture to quantify the pollution of contents in the KAD network. We first collect information on many popular files shared in this network. Then, we propose a new way to detect content pollution by analyzing all filenames linked to a content with a metric based on the Tversky index and which gives very low error rates. By analyzing a large number of popular files, we show that 2/3 of the contents are polluted, one part by index poisoning but the majority by a new, more dangerous, form of pollution that we call index falsification.
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Contributor : Thibault Cholez Connect in order to contact the contributor
Submitted on : Wednesday, September 7, 2011 - 9:28:08 AM
Last modification on : Sunday, June 26, 2022 - 4:35:25 AM
Long-term archiving on: : Thursday, December 8, 2011 - 2:22:34 AM



Guillaume Montassier, Thibault Cholez, Guillaume Doyen, Rida Khatoun, Isabelle Chrisment, et al.. Content Pollution Quantification in Large P2P networks : a Measurement Study on KAD. P2P 2011 - 11th IEEE International Conference on Peer-to-Peer Computing, IEEE Communications Society, Aug 2011, Kyoto, Japan. pp.30-33, ⟨10.1109/P2P.2011.6038658⟩. ⟨inria-00619965⟩



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