Accurate, fine-grained classification of P2P-TV applications by simply counting packets

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Campo DC	Valor	Lengua/Idioma
dc.contributor.author	Valenti, Silvio	es
dc.contributor.author	Rossi, Dario	es
dc.contributor.author	Meo, Michela	es
dc.contributor.author	Mellia, Marco	es
dc.contributor.author	Bermolen, Paola	es
dc.date.accessioned	2023-08-01T20:33:21Z	-
dc.date.available	2023-08-01T20:33:21Z	-
dc.date.issued	2009	es
dc.date.submitted	20230801	es
dc.identifier.citation	Valenti, S, Rossi, D, Meo, M, Mellia, M, Bermolen, P. “Accurate, fine-grained classification of P2P-TV applications by simply counting packets”. Papadopouli M., Owezarski P., Pras A. (eds) Traffic Monitoring and Analysis. TMA 2009. Lecture Notes in Computer Science, vol 5537. Berlin : Springer, 2009.. doi: https://doi.org/10.1007/978-3-642-01645-5_10	es
dc.identifier.uri	https://hdl.handle.net/20.500.12008/38689	-
dc.description.abstract	We present a novel methodology to accurately classify the traffic generated by P2P-TV applications, relying only on the count of packets they exchange with other peers during small time-windows. The rationale is that even a raw count of exchanged packets conveys a wealth of useful information concerning several implementation aspects of a P2P-TV application such as network discovery and signaling activities, video content distribution and chunk size, etc. By validating our framework, which makes use of Support Vector Machines, on a large set of P2P-TV testbed traces, we show that it is actually possible to reliably discriminate among different applications by simply counting packets.	es
dc.language	en	es
dc.publisher	Springer	es
dc.relation.ispartof	Papadopouli M., Owezarski P., Pras A. (eds) Traffic Monitoring and Analysis. TMA 2009. Lecture Notes in Computer Science, vol 5537. Berlin, Papadopouli M., Owezarski P., Pras A. (eds) Traffic Monitoring and Analysis. TMA 2009. Lecture Notes in Computer Science, vol 5537, Berlin, Springer, 2009.	es
dc.rights	Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)	es
dc.subject.other	Telecomunicaciones	es
dc.title	Accurate, fine-grained classification of P2P-TV applications by simply counting packets	es
dc.type	Ponencia	es
dc.rights.licence	Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)	es
dc.identifier.doi	doi: https://doi.org/10.1007/978-3-642-01645-5_10	es
Aparece en las colecciones:	Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica

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