User Characterization through Network Flow(ML)

User Characterization through Network Flow(ML)

ID:39713255

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页数:6页

时间:2019-07-09

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1、UserCharacterizationthroughNetworkFlowAnalysisVinupaulM.VRaktimBhattacharjeeRajeshR.G.SanthoshKumarCentreforAI&RoboticsCentreforAI&RoboticsCentreforAI&RoboticsDept.ofCS,CUSATBangalore,INDIA560093Bangalore,INDIA560093Bangalore,INDIA560093Kochi,INDIA682022Email:vinupaul@cair.drdo.inEmail

2、:raktim@cair.drdo.inEmail:rajeshr@cair.drdo.inEmail:san@cusat.ac.inAbstract—Oneoftheobjectivesofnetworksecurityistoverysmallcomparedtothetotalnumberofhostsconnectingcontroltheuseofsharedresourcesamongusers.Inthisre-totheInternet.Asthislimitationisbypassedbytheuseofgard,knowingtheactual

3、identityofnetworkusersisquitetechniquessuchasdynamicallocationofIPaddressesandvaluabletotheintermediatenodes.ThedynamicallocationofNetworkAddressTranslation(NAT),IPaddresscannotbeusedIPaddressesandNetworkAddressTranslation(NAT)makeitpracticallydifficult,withoutanysignificantmodificationst

4、oendasareliablemethodofuseridentification.userprotocolsandapplications,toidentifyusersbylookingatUseridentificationbasedonbehaviouralpatternsinusernetworktraffic.Thisworktriestoestablishnetworkflowanalysisactivitieshasalreadybeenprovedasasuccessfulmodelinasaviablemethodofuseridentificationi

5、nsuchcases.WeproposeworkslikeanalysisofkeystrokepatternsbyBrown[1]andasupervisedlearningmodelthatusesflowfeaturestoidentifyanalysisofgame-playactivitiesbyKuan-TaChen[2].Thisuserswithinagivenset.Basedonouranalysisofflowfeatures,weintroducetheconceptofflow-bundle-levelfeatureswhichcanisanim

6、portantareaofstudyinthefieldofbiometrics.Webederivedfromthepacket-levelandflow-levelfeatureswhichexplorethescopeforapplyingsimilarconceptsinthecontextaregenerallyrecordedbyflowprobes.Wehaveidentifiedasetofoftheproblemofidentifyingusersfromnetworktraffic.Theflow-bundle-levelfeatureswhichisabl

7、etoidentifyuserswithagenerationofnetworktrafficflowsdepends,toalargeextent,highdegreeofaccuracy.Thissetcomprisestwotypesoffeatures,ontheusers’personalpreferences,behaviouralcharacteristicsuser-featureswhicharecharacteristicofthebehaviourofanindividualuserandhost-featureswhicharetheprop

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