The DOI matches its Crossref record.
Pollution in P2P file sharing systems
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The Bittorrent P2P File-Sharing System: Measurements and Analysis
Pouwelse, J., Garbacki, P., Epema, D., & Sips, H. (2005) · Lecture Notes in Computer Science · doi:10.1007/11558989_19 · Cited by 760
Malware prevalence in the KaZaA file-sharing network
Shin, S., Jung, J., & Balakrishnan, H. (2006) · Proceedings of the 6th ACM SIGCOMM conference on Internet measurement · doi:10.1145/1177080.1177125 · Cited by 49
Towards green P2P: Analysis of energy consumption in P2P and approaches to control
Zhang, P., & Helvik, B. E. (2012) · 2012 International Conference on High Performance Computing & Simulation (HPCS) · doi:10.1109/hpcsim.2012.6266934 · Cited by 8
Metadata
- Authors
- Liang, J., Kumar, R., Xi, Y., & Ross, K. W.
- Venue
- Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies.
- Publisher
- IEEE
- Published
- 2005-08-24
- Volume
- 2
- Pages
- 1174-1185
- OpenAlex
- W2160968921
- Cited by
- 300
- References
- 0
- FWCI
- 146.04
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pollution in P2P file sharing systems. https://app.cochat.ai/papers/10.1109/infcom.2005.1498344
- The paper
- Liang, J., Kumar, R., Xi, Y., & Ross, K. W. (2005). Pollution in P2P file sharing systems. Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies. https://doi.org/10.1109/infcom.2005.1498344
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
