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1、DetectingResolvingInconsistenciesinSntAbstractAbstract—IntrusionDetectionSystems(IDS)arepartofthewksecuritysystemsthatcantakeactivemeasureswhentheydetectsuspiciousintrusionsthroughmonitingwktransmissions.Bymatchingtheinc

2、omingpacketswiththepatternsestablishedthroughaccesscontrolrulesanIDSsystemcanidentifydetectwkattackstakeproactiveresponses.HoweveroneofthemajchallengesfanIDSisthatitseffectivenessisonlyasgoodastherulesthatcollectivelydef

3、inetheprofilesofalltheattacksitiscapableofcapturing.Thedetectionknowledgeasembodiedintherulescanbeincompleteinconsistentdeficientnotwelldefinedmakingthewkdefenselesseffectivestillvulnerablesufferingfromrealtimeperfmanced

4、egradation.InthispaperweuseSntasabacktofmallydefineeighteentypesofknowledgedeficienciesthatcanbefoundinanIDSdescribeapproachestoautomaticallydetectthoseknowledgedeficienciesproposeresolutionalgithmstoeliminatethedeficien

5、ciesinanattempttoincrementallyimprovethequalityofitswkdefenseknowledge.OurultimategoalistorelyonperpetuallearningtoautomaticallyconsistentlycontiuouslyimproveanIDS’swkdefenseperfmanceovertime.IndexTerms—IntrusionDetectio

6、nSystemSntknowledgeinconsistenciesknowledgerefinementperpetuallearning.I.IntroductionWiththerapiddevelopmentofwktechnologiesthereareeverincreasingthreatsattacksincommunicationwkswhichmakeitabundantlycleartheparamountimpt

7、anceofwksecurityprotection.Intrusiondetectionsystems(IDS)arepartofthewksecurityinfrastructuredesignedtoprovidetimelydetectionofvariousmaliciousattackstakeproactiveresponsestosafeguardawksystem.Therearewkintrusiondetectio

8、nsystems(NIDS)hostbasedintrusiondetectionsystems(HIDS)[1].NIDSfocusesonmonitingwktraffictoidentifyattacksmaliciousactivities.HIDSontheotherhmonitscriticaloperatingsystemfilesfsuspiciousactivities.TwomainapproachesexistfI

9、DSdetectionprocess:signaturebaseddetectionanomalybaseddetection.Signaturebaseddetectionrecognizespatternsofattacksmaliciousactivitiesregardsanythingelsethatdoesnotmatchthepatternsasgood.Ontheotherhanomalybaseddetectionis

10、basedonestablishedmodelsofgoodbehavisregardsanyactivitydeviatingfromthemodelsasbad[1].Bothdetectionapproacheshoweverdependonutilizingrulestodefinepatternsmodels.ThusoneofthemajchallengesfanIDSisthatitseffectivenessisonly

11、asgoodastherulesthatcollectivelydefinetheprofiles(patternsmodels)ofalltheknownintrusionsvulnerabilitiesirregularitiesitiscapableofcapturing.Thedetectionknowledgeasembodiedintherulescanbeincompleteinconsistentdeficientnot

12、welldefinedmakingthewkdefenselesseffectivestillvulnerablesufferingfromrealtimeperfmancedegradation.AsknownattacksmaliciousactivitiescanbecapturedaspatternsthesignaturebasedIDSwillhavehighaccuracylowerrateofmissingreptsfk

13、nownattacks.HoweverfnewunknownattacksthesignaturebasedapproachwilloftensufferfromlowaccuracyconflictsthatmayexistinIDS.[14]introducedalgithmstosolveruleconflictsinSntbyconstructingpolicytree.[13][15]gavethetypescriteriao

14、fconflictsbyfmalmethodinIDS.InthispaperWefocusontheruleinconsistenciesinSntwhichhasseveralsalientfeatureswhencomparedwiththerelatedstudiesasmentionedabove.1)ThispapertakesspecificIDSproducttheSntasresearchobject.Wearenot

15、onlyconcernedwithconventionalpacketheaderfields(protocolsourceIPsourceptdestinationptdestinationIP)butalsofocusonotherinterestingfieldssuchastheTTLfieldoftheIPprotocolthefragbitstheflagfieldoftheTCPprotocoltheitypefieldo

16、ftheICMPprotocolsoon.Inadditionwearealsoconcernedaboutthepossibilitythattheloadfieldofpacketmayleadtoruleinconsistencies.2)Manycurrentrelatedresearchesdonottakeintoaccountthesituationthatthenonintersectionoffieldscanalso

17、resultintheruleconflicts.Inthispaperwetakenonintersectionoffieldsasoneofthefactsthatmayresultinconflicts.3)OurconflictresolutionalgithmsarebasedonurgentlevelofactionfieldinrulewhichhasmeflexibilityIII：IDSInconsistenciesW

18、hentheinputpacketmatchestwomerulesofRSinIDSmeanwhiletheremayexisttheinconsistencies.ThissectiontakesrulesinSntasresearchcontent.BystudyingthestructureofruleswemineavarietyofconflictswhichmayexistinRS.1.BasicSymbolsIndert

19、ofacilitatethedeionoftherulesthefollowingsymbolsaregivenftherules.1)RSnotestherulelibraryinSntFmat:RS=R1Rn2)HeadOptionnotestheheadersectionfieldsoftherulewhicharejoinedinconflictdetection.Itiscomposedofactionprotocolsour

20、ceIPaddresssourceptdirectiondestinationIPaddressdestinationpt.Fmat:H=3)HsubOptionnotestheremainfieldsofremovingtheactionfieldfromtheaboveHeadoption.Fmat：Hsub=4)payLoadOptionnotesthesectionofrulewhichisinvolvedinmatchingp

21、ayloadofpacket.InSntthepayLoadoptionmainlycontainsthecontentfieldotherfieldswhichareusedtomodifythecontentfield.InSnt2911thereareaboutseventeenfieldstomodifythecontentfiledpleasewatchtheofficialdocumentfdetail.Fmat：payLo

22、ad=5)nonPayLoadOptionnotestheremainfieldsofremovingtheHeadOptionpayLoadOptionfromrulewhicharejoinedinpacketmatching.Fmat：nonpayLoad=6)RnotesaruleofRSinSntwhichiscomposedofHeadoptionpayLoadoptionnonPayLoadoption.Fmat：R=(n

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