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1、ComputerNetworks57(2013)2718–2732ContentslistsavailableatSciVerseScienceDirectComputerNetworksjournalhomepage:www.elsevier.com/locate/comnetAgeneralizabledynamicflowpairingmethodfortrafficclassificationJoséCamacho,PabloPadilla,PedroGarcía-Teodoro,JesúsDíaz-Verdejo⇑DepartmentofSignalTheory,Telematic
2、sandCommunication,ResearchCenterofInformationandCommunicationTechnologies,UniversityofGranada,Granada,SpainarticleinfoabstractArticlehistory:ThegoalofnetworktrafficclassificationistoidentifytheprotocolsortypesofprotocolsinReceived11December2012thenetworktraffic.Inparticular,theidentificationofnetwor
3、ktrafficwithhighresourceReceivedinrevisedform13May2013consumption,suchaspeer-to-peer(P2P)traffic,representsagreatconcernforInternetSer-Accepted14June2013viceProviders(ISP)andnetworkmanagers.Mostcurrentflow-basedclassificationAvailableonline22June2013approachesreporthighaccuracywithoutpayingattention
4、tothegeneralizationabilityoftheclassifier.However,withoutthisability,aclassifiermaynotbesuitableforon-lineclas-Keywords:sification.Inthispaper,anumberofexperimentsonrealtraffichelptoelucidatethereasonTrafficclassificationforthislackofgeneralization.ItisalsoshownthatonewaytoattainthegeneralizationPeer-
5、to-peerFlowabilityisbyusingdynamicclassifiers.Fromtheseresults,adynamicclassificationPairingapproachbasedonthepairingofflowsaccordingtoasimilaritycriterionisproposed.Thepairingmethodisnotaclassifierbyitself.Rather,itsgoalistodetermineinafastwaythattwogivenflowsaresimilarenoughtoconcludetheycorrespond
6、tothesamepro-tocol.Combiningthismethodwithaclassifier,mostoftheflowsdonotneedtobeexplic-itlyevaluatedbythelater,sothatthecomputationaloverheadisreducedwithoutasignificantreductioninaccuracy.Inthispaper,asacasestudy,weexplorecomplementingthepairingmethodwithpayloadinspection.Intheexperimentsperforme
7、d,thepairingapproachgeneralizeswelltotrafficobtainedindifferentconditionsandscenariosthanthatusedforcalibration.Moreover,ahighportionofthetrafficunclassifiedbypayloadinspec-tioniscategorizedwiththepairingmethod.Ó2013ElsevierB.V