Pollution in P2P file sharing systems

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

doi:10.1109/INFCOM.2005.1498344

Pollution in P2P file sharing systems

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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 language	English (US)
Title of host publication	Proceedings - IEEE INFOCOM 2005. The Conference on Computer Communications - 24th Annual Joint Conference of the IEEE Computer and Communications Societies
Editors	K. Makki, E. Knightly
Pages	1174-1185
Number of pages	12
DOIs	https://doi.org/10.1109/INFCOM.2005.1498344
State	Published - 2005
Event	IEEE INFOCOM 2005 - Miami, FL, United States Duration: Mar 13 2005 → Mar 17 2005

Publication series

Name	Proceedings - IEEE INFOCOM
Volume	2
ISSN (Print)	0743-166X

Other

Other	IEEE INFOCOM 2005
Country/Territory	United States
City	Miami, FL
Period	3/13/05 → 3/17/05

Keywords

Network measurements

ASJC Scopus subject areas

General Computer Science
Electrical and Electronic Engineering

Access to Document

10.1109/INFCOM.2005.1498344

Cite this

Liang, J., Kumar, R., Xi, Y., & Ross, K. W. (2005). Pollution in P2P file sharing systems. In K. Makki, & E. Knightly (Eds.), Proceedings - IEEE INFOCOM 2005. The Conference on Computer Communications - 24th Annual Joint Conference of the IEEE Computer and Communications Societies (pp. 1174-1185). (Proceedings - IEEE INFOCOM; Vol. 2). https://doi.org/10.1109/INFCOM.2005.1498344

Pollution in P2P file sharing systems. / Liang, Jian; Kumar, Rakesh; Xi, Yongjian et al.
Proceedings - IEEE INFOCOM 2005. The Conference on Computer Communications - 24th Annual Joint Conference of the IEEE Computer and Communications Societies. ed. / K. Makki; E. Knightly. 2005. p. 1174-1185 (Proceedings - IEEE INFOCOM; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Liang, J, Kumar, R, Xi, Y & Ross, KW 2005, Pollution in P2P file sharing systems. in K Makki & E Knightly (eds), Proceedings - IEEE INFOCOM 2005. The Conference on Computer Communications - 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings - IEEE INFOCOM, vol. 2, pp. 1174-1185, IEEE INFOCOM 2005, Miami, FL, United States, 3/13/05. https://doi.org/10.1109/INFCOM.2005.1498344

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abstract = "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.",

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AB - 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.

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Pollution in P2P file sharing systems

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Keywords

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