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1、IEICETRANS.INF.&SYST.,VOL.E93-D,No.11NOVEMBER20101PAPERFastTrafficClassificationUsingJointDistributionofPacketSizeandEstimatedProtocolProcessingTime††††*RentaoGu,HongxiangWang,YongmeiSunIEICEmemberandYuefengJiAnovelapproachforfasttrafficclassificationforthehighspeedlargeextentonthe
2、useoftheportnumbersandpacketnetworksisproposed,whichbasesontheprotocolbehaviorstatisticalpayloadexamination[1-3].Thesepracticesareeffectivefeatures.Thepacketsizeandanewparameternamed“EstimatedandpreciseintheearlydaysoftheInternet.However,ProtocolProcessingTime”arecollectedfromthere
3、aldataflows.Thenasetofjointprobabilitydistributionsisobtainedtodescribethetheportnumbersprovideonlylimitedinformationprotocolbehaviorsandclassifythetraffic.Comparingtheparameterscurrently,sincesomeusersuseinconsistentportsofanunknownflowwiththepre-obtainedjointdistributions,wecanin
4、tentionally.Atthesametime,themethodsbasedonjudgewhichapplicationprotocoltheunknownflowbelongsto.Distinctpayloadexamination[4]alsohavetofacethelimitationfromothermethodsbasedontraditionalinter-arrivaltime,weusethe“EstimatedProtocolProcessingTime”toreducethelocationincomplexity,priva
5、cyissuesandencryptedapplications.dependenceandtimedependenceandobtainbetterresultsthanTherefore,thesemethodologiescannotprovideaccuratetraditionaltrafficclassificationmethod.Sincethereisnoneedforandsufficienttrafficclassificationtothenetworkallthecharacterstringsearchingandparallel
6、featureforhardwaretime.Asaresult,traditionalclassificationschemes,i.e.implementationwithpipeline-modedataprocessing,theproposedbasedonportnumbersandpayloadanalysis,aredifficultapproachcanbeeasilydeployedinthehardwareforreal-timeclassificationinthehighspeednetworks.tooperateeffectiv
7、ely.Inthispaper,anoveltrafficclassificationmethodisKeywords:proposed.ThismethodutilizespacketsizedistributionProtocols,Internet,trafficclassification,high-speednetworks,jointandanewparameternamed“EstimatedProtocolprobabilitydistribution.ProcessingTime(EPPT)”.TheparameterEPPTisexpec
8、tedtocapturetherealprocess
