Pollution in P2P file sharing systems

Jian Liang, Rakesh Kumar, Yongjian Xi, Keith W. Ross

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    One way to combat P2P file sharing of copyrighted content is to deposit into the file sharing systems large volumes of polluted files. Without taking sides in the file sharing debate, in this paper we undertake a measurement study of the nature and magnitude of pollution in the FastTrack P2P network, currently the most popular P2P file sharing system. We develop a crawling platform which crawls the majority of the FastTrack Network's 20,000+ supernodes in less than 60 minutes. From the raw data gathered by the crawler for popular audio content, we obtain statistics on the number of unique versions and copies available in a 24-hour period. We develop an automated procedure to detect whether a given version is polluted or not, and we show that the probabilities of false positives and negatives of the detection procedure are very small. We use the data from the crawler and our pollution detection algorithm to determine the fraction of versions and fraction of copies that are polluted for several recent and old songs. We observe that pollution is pervasive for recent popular songs. We also identify and describe a number of anti-pollution mechanisms.

    Original languageEnglish (US)
    Title of host publicationProceedings - IEEE INFOCOM 2005. The Conference on Computer Communications - 24th Annual Joint Conference of the IEEE Computer and Communications Societies
    EditorsK. Makki, E. Knightly
    Number of pages12
    StatePublished - 2005
    EventIEEE INFOCOM 2005 - Miami, FL, United States
    Duration: Mar 13 2005Mar 17 2005

    Publication series

    NameProceedings - IEEE INFOCOM
    ISSN (Print)0743-166X


    OtherIEEE INFOCOM 2005
    Country/TerritoryUnited States
    CityMiami, FL


    • Network measurements

    ASJC Scopus subject areas

    • General Computer Science
    • Electrical and Electronic Engineering


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