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

Valenti, Silvio - Rossi, Dario - Meo, Michela - Mellia, Marco - Bermolen, Paola

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.


Detalles Bibliográficos
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)