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Content pollution quantification in large P2P networks: A measurement study on KAD

  • Guillaume Montassier
  • , Thibault Cholez
  • , Guillaume Doyen
  • , Rida Khatoun
  • , Isabelle Chrisment
  • , Olivier Festor
  • GSM-LASMIS
  • LORIA Laboratoire Lorrain de Recherche en Informatique et ses Applications
  • LORIA and INRIA Lorraine

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Peer-to-Peer Computing, P2P 2011 - Proceedings
PublisherIEEE Computer Society
Pages30-33
Number of pages4
ISBN (Print)9781457701498
DOIs
Publication statusPublished - 1 Jan 2011
Externally publishedYes
Event11th IEEE International Conference on Peer-to-Peer Computing, P2P 2011 - Kyoto, Japan
Duration: 31 Aug 20112 Sept 2011

Publication series

Name2011 IEEE International Conference on Peer-to-Peer Computing, P2P 2011 - Proceedings

Conference

Conference11th IEEE International Conference on Peer-to-Peer Computing, P2P 2011
Country/TerritoryJapan
CityKyoto
Period31/08/112/09/11

Keywords

  • KAD
  • pollution detection
  • pollution of contents

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