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基于SVM技术的入侵检测方式.docx

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基于SVM技术的入侵检测方式 Abstract： Withtherapiddevelopmentofcomputertechnology,theproblemofnetworksecurityhasattractedmoreandmoreattention.Theintrusiondetectiontechnologyhasbecomethemostimportantpartofnetworksecurity.Thispaperintroducesthesupportvectormachine(SVM)technology,analyzesitsadvantagesanddisadvantagesinintrusiondetection,andproposesamethodofintrusiondetectionbasedonSVM.TheexperimentshowsthatSVMhasexcellentperformanceinintrusiondetection,andthemethodproposedinthispaperhashighaccuracyandgoodgeneralizationability. Introduction： Intrusiondetectiontechnologyisanimportantpartofnetworksecurity.Intrusiondetectionmeansthatbyanalyzingthenetworktraffic,thesystemcanautomaticallyidentifythebehaviorthatmaythreatenthesecurityofthesystemandtakecorrespondingmeasurestoprotectthesystem.Withthedevelopmentofnetworktechnology,thenumberofcomputervirusesandnetworkattackshasalsoincreased.Therefore,theresearchonintrusiondetectiontechnologyhasbecomeincreasinglyimportant. SVM(SupportVectorMachine)isamachinelearningalgorithmthathasbeenwidelyusedinmanyfieldssuchaspatternrecognition,dataclassification,anddataanalysis.SVMhastheadvantagesofgoodgeneralizationability,fastcalculationspeed,andhighaccuracy.Inthefieldofintrusiondetection,SVMhasalsobeenwidelyused.BasedontheadvantagesofSVM,thispaperproposesamodelofintrusiondetectionbasedonSVM. IntrusionDetectionSystem： Intrusiondetectionsystem(IDS)isasystemthatmonitorsnetworktrafficandidentifiespotentialintrusionbehavior.Thebasicarchitectureofanintrusiondetectionsystemisdividedintothreeparts:dataacquisition,dataanalysis,andresponse. Dataacquisition：Theacquisitionofdataincludesnetworkdataandsystemlogdata.Networkdatareferstothedatacollectedfromthenetworktraffic,whichincludespacketheaderinformation,packetpayloads,andotherrelevantinformation.Systemlogdatareferstotheloginformationgeneratedbythesystem,whichincludessystemloginrecords,systemconfigurationinformation,andotherrelevantinformation. Dataanalysis：Afteracquiringthedata,thenextstepistoanalyzethedata.Thispr