An abacus for P2P-TV traffic classification.
Resumen:
This demo focuses on the online classification of traffic generated by P2P-TV applications, live video delivering services used by an ever increasing number of users worldwide. We designed a novel behavioural technique, which is able to reliably identify P2P-TV traffic simply based on raw counts of packets and bytes exchanged by the application during small-time windows. The demo software aims at showing the classification process and results, allowing users to interact on a simple active testbed with different live running P2P-TV applications.
| 2009 | |
| P2P-TV | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/49645 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
