Bibliography Details

Zuev D. and Moore A., "Traffic Classification using a Statistical Approach", in Passive and Active Measurement Conference (PAM), Mar 2005.

Traffic Classification using a Statistical Approach
Authors:	Zuev D. Moore A.
Published:	Passive and Active Measurement Conference (PAM), 2005
URL:	http://www.pamconf.org/2005/PDF/34310324.pdf
Entry Dates:	2009-02-09
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
Results:	Genome Campus Datasets; traffic categories: BULK;DATABASE;INTERACTIVE;MAIL;SEVICES;WWW;P2P;ATTACK;GAMES;MULTIMEDIA; demonstrate an accuracy of better than 66% of flows and better than 83% for packets and bytes;