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2010 8th Annual Communication Networks and Services Research Conference
Most Wanted Internet Applications: A Framework for P2P Identification
Montreal, Quebec, Canada
May 11-May 14
ISBN: 978-0-7695-4041-2
| ASCII Text | x | ||
| Guthemberg Silvestre, Stênio Fernandes, Carlos Kamienski, Djamel Sadok, "Most Wanted Internet Applications: A Framework for P2P Identification," Communication Networks and Services Research, Annual Conference on, pp. 341-347, 2010 8th Annual Communication Networks and Services Research Conference, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/CNSR.2010.64, author = {Guthemberg Silvestre and Stênio Fernandes and Carlos Kamienski and Djamel Sadok}, title = {Most Wanted Internet Applications: A Framework for P2P Identification}, journal ={Communication Networks and Services Research, Annual Conference on}, volume = {0}, year = {2010}, isbn = {978-0-7695-4041-2}, pages = {341-347}, doi = {http://doi.ieeecomputersociety.org/10.1109/CNSR.2010.64}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Communication Networks and Services Research, Annual Conference on TI - Most Wanted Internet Applications: A Framework for P2P Identification SN - 978-0-7695-4041-2 SP341 EP347 A1 - Guthemberg Silvestre, A1 - Stênio Fernandes, A1 - Carlos Kamienski, A1 - Djamel Sadok, PY - 2010 VL - 0 JA - Communication Networks and Services Research, Annual Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CNSR.2010.64
For almost a decade, Peer-to-Peer (P2P) traffic have been putting pressure on network operators. Taking actions to control P2P traffic is a daunting task. In this paper, we present a comprehensive framework for the identification of P2P traffic based on information-theoretic techniques. Despite the inherent difficulty to single out such applications, our methodology is able to successfully identify P2P traffic using a set of communication patterns or profiles. We show that profiles built on the observation of traffic volume are more accurate than those using the number of flows.
Citation:
Guthemberg Silvestre, Stênio Fernandes, Carlos Kamienski, Djamel Sadok, "Most Wanted Internet Applications: A Framework for P2P Identification," cnsr, pp.341-347, 2010 8th Annual Communication Networks and Services Research Conference, 2010
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