基于隔离的蠕虫混沌性传播模型优化与代价控制的分析

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1、AbstractAbstractInrecentyears,underthehighspeednetworkenvironment,theworms[1]thathadadramaticincreaseinthefrequencyandvirulenceofsuchoutbreakshavebecomeoneofthemajorthreatstothesecurityoftheinternet.Asthebasictheoryofanalysisandpreventionoftheinternetwormpropagating,nowwiththedevelopme

2、ntoftheinternet,wormpropagationmodelismodelingproblemsofnonlinearanddynamicsystems.However,theinternetwormpropagatingisverycomplexandmostoftheabovemodelsdescribethecorrespondingmodelsbyapplyingthelinearequations.Mostofthemcannotdescribethewormpropagationverywell.Aimingattheaboveproblem

3、s,inthispaper,newwormpropagationisproposedbasedonquarantinestrategy,byoptimizingtheTwo-Factormodel.Thechaoticdynamicpropagationandcostoptimizingcontrolhavenbeensubjectedtointensivestudies.Specifically,thisdissertationmainlyaccomplishedfollowingseveralresearchworksandresearchbriefs,asfo

4、llows:（1）Thebasicrelevantknowledgeandtechnologyofwormpropagationmodelandthetheoryknowledgeinvolvedinthispaperareintroduced.Theformermainlyincludesthedefinitionofworm,analysisofwormcharacteristicsandanalysisofwormpropagationmodel.Thelatermainlyincludesthechaostheoryandoptimalcontroltheo

5、ry.（2）Anewwormpropagationmodelisproposed.ByanalyzingandoptimizingoftheTwo-Factormodel,newwormpropagationmodelisproposedbasedonquarantine.Thesimulationonthenewwormpropagationmodeliscarriedoutandtheresultsareanalyzed.（3）Thechaoticdynamicsystemofthenewwormpropagationisproposed.Basedonthec

6、haostheoryandthenewwormpropagation,thecorrespondingchaoticdynamicsystemisproposed.Thispapercarriedoutthesimulationonthechaoticdynamicsystem.Theanalysisresultisgiven.（4）CostopticalcontrolsystemisproposedbasedontheKermack-Mckendrickmodel.ThecostopticalcontrolsystemoftheKermack-Mckendrick

7、modelisproposedbasedontheKermack-Mckendrickmodelandtheopticalcontroltheory.Thesimulationonthecostopticalcontrolsystemiscarriedoutandthentheanalysisisgiven.-II-AbstractThroughexperiments,thenewwormpropagationmodelthisdissertationproposedcouldaccuratelypredictthewormpropagating.Thechao