Università degli Studi di Napoli Federico II Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione (DIETI)

Classification Plugins

Name Technique Current Status Main Contributor
port classical port-based classification available University of Napoli (fingerprints from CAIDA [1])
l7 regexp on payload available University of Napoli (fingerprints/code from Linux L7-filter [2])
PortLoad Lightweight packet inspection licensable University of Napoli [3]
GMM-PS statistical, based on payload size under test University of Napoli
HMM Statistical Approach: PS, IPT under test University of Napoli[4]
FPT statistical, based on PS and IPT under development University of Brescia[5]
Joint Machine Learning under development University of Napoli - CAIDA
GT Information from hosts under development University of Napoli - University of Brescia
OpenDPI Deep Payload Inspection Beta University of Napoli - OpenDPI - TUM
Weka Imports the output of a WEKA classifier available University of Napoli

//[1] http://www.caida.org/tools/measurement/coralreef/ //

//[2] http://l7-filter.sourceforge.net/ //

//[3] G. Aceto, A. Dainotti, W. de Donato, A. Pescapè, “PortLoad: taking the best of two worlds in traffic classification”, IEEE INFOCOM 2010 Work in Progress (WiP), San Diego, CA, USA, March 15-19, 2010 //

[4] A. Dainotti, W. de Donato, A. Pescapè, P. Salvorossi “Classification of Network Traffic via Packet-Level Hidden Markov Models”, IEEE GLOBECOM 2008

[5] M. Crotti, F. Gringoli, P. Pelosato, L. Salgarelli, “A Statistical Approach to IP-level classification of network traffic”, IEEE ICC 2006