Accurate, fine-grained classification of P2P-TV applications by simply counting packets
Resumen:
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.
| 2009 | |
| Telecomunicaciones | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/38689 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522934352248832 |
|---|---|
| author | Valenti, Silvio |
| author2 | Rossi, Dario Meo, Michela Mellia, Marco Bermolen, Paola |
| author2_role | author author author author |
| author_facet | Valenti, Silvio Rossi, Dario Meo, Michela Mellia, Marco Bermolen, Paola |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Valenti, Silvio Rossi, Dario Meo, Michela Mellia, Marco Bermolen, Paola |
| dc.date.accessioned.none.fl_str_mv | 2023-08-01T20:33:21Z |
| dc.date.available.none.fl_str_mv | 2023-08-01T20:33:21Z |
| dc.date.issued.es.fl_str_mv | 2009 |
| dc.date.submitted.es.fl_str_mv | 20230801 |
| dc.description.abstract.none.fl_txt_mv | 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. |
| dc.identifier.citation.es.fl_str_mv | 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 |
| dc.identifier.doi.es.fl_str_mv | doi: https://doi.org/10.1007/978-3-642-01645-5_10 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/38689 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Springer |
| dc.relation.ispartof.es.fl_str_mv | 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. |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.other.es.fl_str_mv | Telecomunicaciones |
| dc.title.none.fl_str_mv | Accurate, fine-grained classification of P2P-TV applications by simply counting packets |
| dc.type.es.fl_str_mv | Ponencia |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/conferenceObject |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | 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. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | COLIBRI_9f26da6479a7b4cf8d7b7b13a9e7cdd1 |
| identifier_str_mv | 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 doi: https://doi.org/10.1007/978-3-642-01645-5_10 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/38689 |
| publishDate | 2009 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | 2023-08-01T20:33:21Z2023-08-01T20:33:21Z200920230801Valenti, 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_10https://hdl.handle.net/20.500.12008/38689doi: https://doi.org/10.1007/978-3-642-01645-5_10We 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.Made available in DSpace on 2023-08-01T20:33:21Z (GMT). No. of bitstreams: 5 VRMMB09.pdf: 349845 bytes, checksum: aad12e5fcc16fea08446ae89b1ad1d23 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4194 bytes, checksum: 7f2e2c17ef6585de66da58d1bfa8b5e1 (MD5) Previous issue date: 2009enengSpringerPapadopouli 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.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)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)TelecomunicacionesAccurate, fine-grained classification of P2P-TV applications by simply counting packetsPonenciainfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaValenti, SilvioRossi, DarioMeo, MichelaMellia, MarcoBermolen, PaolaTelecomunicacionesAnálisis de Redes, Tráfico y Estadísticas de 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- Universidad de la Repúblicafalse |
| spellingShingle | Accurate, fine-grained classification of P2P-TV applications by simply counting packets Valenti, Silvio Telecomunicaciones |
| status_str | publishedVersion |
| title | Accurate, fine-grained classification of P2P-TV applications by simply counting packets |
| title_full | Accurate, fine-grained classification of P2P-TV applications by simply counting packets |
| title_fullStr | Accurate, fine-grained classification of P2P-TV applications by simply counting packets |
| title_full_unstemmed | Accurate, fine-grained classification of P2P-TV applications by simply counting packets |
| title_short | Accurate, fine-grained classification of P2P-TV applications by simply counting packets |
| title_sort | Accurate, fine-grained classification of P2P-TV applications by simply counting packets |
| topic | Telecomunicaciones |
| url | https://hdl.handle.net/20.500.12008/38689 |
