The DOI matches its Crossref record; 11 of the 12 references it cites were found in a registry or an index.
Is P2P dying or just hiding?
Abstract
Recent reports in the popular media suggest a significant decrease in peer-to-peer (P2P) file-sharing traffic, attributed to the public's response to legal threats. Have we reached the end of the P2P revolution? In pursuit of legitimate data to verify this hypothesis, in this paper, we embark on a more accurate measurement effort of P2P traffic at the link level. In contrast to previous efforts, we introduce two novel elements in our methodology. First, we measure traffic of all known popular P2P protocols. Second, we go beyond the "known port" limitation by reverse engineering the protocols and identifying characteristic strings in the payload. We find that, if measured accurately, P2P traffic has never declined; indeed we have never seen the proportion of P2P traffic decrease over time (any change is an increase) in any of our data sources.
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“Furthermore, relying solely on port numbers has been shown to be ineffective [125,228,320], largely due to the use of dynamic port negotiation, tunneling and misuse of port numbers assigned to well-known applications for obfuscating traffic and avoiding firewalls [54,109,176,286].”
From A comprehensive survey on machine learning for networking: Evolution, applications and research opportunities (2018) · cites this paper as [228]
Citations
Cites
Measurement study of peer-to-peer file sharing systems
Saroiu, S., Gummadi, K. P., & Gribble, S. D. (2001) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.449977 · Cited by 1,917
Packet-level traffic measurements from the sprint IP backbone
Fraleigh, C., Moon, S. B., Lyles, B., Cotton, C., Khan, M., Moll, D., Rockell, R., Seely, T., & Diot, C. (2003) · IEEE Network · doi:10.1109/mnet.2003.1248656 · Cited by 639
Analyzing Peer-To-Peer Traffic Across Large Networks
Sen, S. B., & Wang, J. (2004) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2004.826277 · Cited by 587
Bhagwan, R., Savage, S., & Voelker, G. M. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-45172-3_24 · Cited by 564
A parameterizable methodology for Internet traffic flow profiling
claffy, K., Braun, H.-W., & Polyzos, G. C. (1995) · IEEE Journal on Selected Areas in Communications · doi:10.1109/49.464717 · Cited by 330
Self-citationAnalyzing peer-to-peer traffic across large networks
Sen, S. B., & Wang, J. (2002) · doi:10.1145/637201.637222 · Cited by 293
The architecture of CoralReef: an Internet traffic monitoring software suite
Keys, K., Moore, D., Koga, R., Lagache, E., Tesch, M., & claffy, K. (2001) · Cited by 121
Self-citationFile-sharing in the Internet: A characterization of P2P traffic in the backbone
Karagiannis, T., Broido, A., Brownlee, N., claffy, K., & Faloutsos, M. (2003) · Cited by 99
Self-citationGerber, A., Houle, J. D., Thanh, N. H., Roughan, M., & Sen, S. B. (2003) · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · Cited by 66
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Micheel, J., Donnelly, S. F., & Graham, I. D. (2001) · doi:10.1145/505202.505236 · Cited by 64
Research works printed but not linked: 17
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Cited by
Sorted by citations
A survey of techniques for internet traffic classification using machine learning
Nguyen, T. T. T., & Armitage, G. (2008) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2008.080406 · Cited by 1,664
Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018) · Journal of Internet Services and Applications · doi:10.1186/s13174-018-0087-2 · Cited by 1,036
Karagiannis, T., Papagiannaki, K., & Faloutsos, M. (2005) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/1080091.1080119 · Cited by 997
Self-citationThe Effect of File Sharing on Record Sales: An Empirical Analysis
Oberholzer‐Gee, F., & Strumpf, K. (2007) · Journal of Political Economy · doi:10.1086/511995 · Cited by 831
The Bittorrent P2P File-Sharing System: Measurements and Analysis
Pouwelse, J. A., Garbacki, P., Epema, D. H. J., & Sips, H. J. (2005) · Lecture notes in computer science · doi:10.1007/11558989_19 · Cited by 760
Metadata
- Authors
- Karagiannis, T., Broido, A., Brownlee, N., Claffy, K. C., & Faloutsos, M.
- Affiliations
- University of California, Riverside (US)
- University of California San Diego (US)
- Venue
- IEEE Global Telecommunications Conference, 2004. GLOBECOM '04.
- Publisher
- IEEE
- Published
- 2005-04-05
- Volume
- 3
- Pages
- 1532-1538
- ISSN
- 1930-529X (ISSN-L)
- OpenAlex
- W1559810148
- Cited by
- 504
- References
- 12
- Citations by year
- 2025: 1 · 2023: 2 · 2022: 7 · 2021: 5 · 2020: 8 · 2019: 7 · 2018: 9 · 2017: 6 · 2016: 10 · 2015: 13 · 2014: 18 · 2013: 29 · 2012: 33
- FWCI
- 36.13
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Globecom (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Peer-to-Peer Network Technologies
- Social Sciences › Business, Management and Accounting › Marketing › Copyright and Intellectual Property
- Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
- Keywords
- peer-to-peer file sharing, network traffic statistics
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