Publication | Closed Access
Lightweight, Payload-Based Traffic Classification: An Experimental Evaluation
89
Citations
11
References
2008
Year
Unknown Venue
Internet Traffic AnalysisEngineeringMachine LearningIntelligent Traffic ManagementData ScienceData MiningPattern RecognitionTraffic PredictionPayload-based ClassificationPayload-based Traffic ClassificationTransportation EngineeringNetwork FlowsComputer EngineeringComputer ScienceTraffic MonitoringTraffic ClassificationEdge ComputingTraffic Classification ApproachNetwork Traffic MeasurementTransportation Systems
With the ever increasing amount of traffic, scalability is probably the most important factor that differentiates several existing approaches to traffic classification. This paper focuses on payload-based classification and compares the results obtained through a "lightweight" traffic classification approach with the ones obtained with a "completely stateful" approach, demonstrating that the first approach, albeit less precise, is still appropriate for a large class of applications.
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