Title
Content pollution quantification in large P2P networks : A measurement study on KAD.
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.
Year
DOI
Venue
2011
10.1109/P2P.2011.6038658
Peer-to-Peer Computing
Keywords
Field
DocType
peer-to-peer computing,FastTrack,KAD,Overnet,P2P file sharing network,Tversky index,content pollution quantification,index falsification,index poisoning,KAD,pollution detection,pollution of contents
Tversky index,World Wide Web,Architecture,Computer science,Peer to peer computing,Computer network,Pollution,File sharing,Database
Conference
ISSN
Citations 
PageRank 
2161-3567
7
0.51
References 
Authors
8
6
Name
Order
Citations
PageRank
Guillaume Montassier170.51
Thibault Cholez210011.89
Guillaume Doyen39813.25
Rida Khatoun412217.66
Isabelle Chrisment522525.75
Olivier Festor666585.40