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一种基于演化博弈的无线传感器网络安全决策算法(英文) Title:AnEvolutionaryGame-basedAlgorithmforWirelessSensorNetworkSecurityDecision-making Abstract: Wirelesssensornetworks(WSNs)havegainedsignificantpopularityduetotheirwiderangeofapplicationsinvariousdomains,includingenvironmentalmonitoring,healthcare,andsurveillance.However,theunprotectednatureofwirelesstransmissionsmakesWSNsvulnerabletovarioussecuritythreats.Inthispaper,weproposeanovelalgorithmbasedonevolutionarygametheorytoenhancethesecuritydecision-makingprocessinWSNs.Thealgorithmadaptsthestrategiesofthenodesinthenetworkovertimetooptimizeoverallnetworksecurity. 1.Introduction: Wirelesssensornetworksconsistofnumeroussmallnodesthatcollaboratetogatherandprocessdatafromtheenvironmenttheyaredeployedin.However,duetotheirlimitedresourcesandthepresenceofvarioussecuritythreats,suchaseavesdropping,jamming,andspoofing,thesecurityofWSNsbecomesacriticalconcern.Traditionalcryptographicmethodsarenotalwaysfeasibleduetotheresourceconstraintsofthesensornodes.Thus,thereisaneedforefficientandeffectivesecuritydecision-makingalgorithmsspecificallydesignedforWSNs. 2.EvolutionaryGameTheory: Evolutionarygametheoryprovidesaframeworkforstudyingthedynamicsofstrategicinteractionsamongindividualsorentities.InthecontextofWSNsecurity,evolutionarygametheorycanmodelthedecision-makingprocessofsensornodes.Eachnodecanbeconsideredasaplayerinthegame,anditsstrategyrepresentsthesecuritymeasuresadoptedbythenode.Thefitnessofastrategydependsontheactionsofothernodesinthenetwork. 3.ProposedAlgorithm: Theproposedalgorithmconsistsofthefollowingsteps: -Step1:Initialization-Eachnodeinthenetworkisassignedaninitialsecuritystrategy. -Step2:FitnessEvaluation-Thefitnessofeachstrategyisevaluatedbasedonthepayoffmatrix,consideringtheactionsofneighboringnodes. -Step3:Selection-Nodeswithhigherfitnessvaluesareselectedasparentsforthenextgeneration. -Step4:ReproductionandMutation-Theselectednodesreproduceandtheiroffspringinherittheirparents'strategies,whicharesubjecttosmallrandommutations. -Step5:St

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