D. Antoniades, M. Polychronakis, S. Antonatos, E. Markatos, and S. Ubik, "Appmon: An Application for Accurate per Application Network Traffic Characterization", in BroadBand Europe 2006, Dec 2006.
|Appmon: An Application for Accurate per Application Network Traffic Characterization|
|Published:||BroadBand Europe, 2006|
|Abstract:||Accurate traffic classification is the keystone of numerous network activities. Our work capitalises on hand-classified network data, used as input to a supervised Bayes estimator. We illustrate the high level of accuracy achieved with a supervised Naive Bayes estimator; with the simplest estimator we are able to achieve better than 83% accuracy on both a per-byte and a per-packet basis|