2009 · 19 citations · 5 references
ComputingComputer ScienceMachine LearningQueuing TheoryTransportation EngineeringClassificationNetwork Traffic AnalysisPattern RecognitionTraffic EngineeringTraffic Flow TheoryExperimental Results InterpretationMachine Learning For Traffic AnalysisPacket ClassificationTraffic ClassificationTraffic MonitoringTraffic Prediction
This paper presents a novel approach in traffic classification that is based on the identification of the service that generates the traffic. This method is, in some sense, orthogonal to current approaches and it can be used as an efficient complement to existing methods to reduce computation and memory requirements. Experimental results on real traffic confirm that this method is extremely effective and may improve considerably the accuracy of traffic classification, while it is suitable to a large number of applications.
5
Thomas Karagiannis, Konstantina Papagiannaki, Michalis Faloutsos · 2005 · 1K citations
Transport layer identification of P2P traffic
Thomas Karagiannis, Andre Broido, Michalis Faloutsos et al. · 2004 · 713 citations
Computing, Information Technology, Digital Communication +16
Lightweight, Payload-Based Traffic Classification: An Experimental Evaluation
Fulvio Risso, Mario Baldi, Olivier Morandi et al. · 2008 · 89 citations · Full text