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ID:39713255
大小:279.00 KB
页数:6页
时间:2019-07-09
《User Characterization through Network Flow(ML)》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
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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