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1、AbstractWiththerapiddevelopmentofcloudcomputingtechnology,agrowingnumberofindividuals,businessesandgovernmentwillmakeuseofcloudcomputingservices,theseservicesthroughcloudcomputingplatformoffertousersasneeded.Asoneofthemostcommonmeansofattacksinthetraditionalnetworkenvironmedistributedde
2、nialofserviceattack(DDoS)attackhassignificantthreatstothecloudplatform.DDoSattackdetectionundertraditionalnetworkisahotspotanddifficultyproblem,bothcommonAnomalydetectionandSignature-baseddetectionfacepoortruepositiverateorhighfalsepositivesrate.Inordertosolvethisproblem,somescholarsint
3、roducedD-Sevidencefusiontheory,usingtheD-Sevidencetheorytocombinemultiplesensorsforinformationfusion,butD-Sevidencetheorymakeapoorperformancewhenfacinghighlyconflictbetweentwoevidences.Tosettlethisproblem,animprovementD-Sevidencetheoryfusionalgorithm1MDSusesaconflictcoefficientcontrol,t
4、hetimecomplexityofIMDSisO(n),thealgorithmcaneffectivelysolvetheD-Sevidencetheoryofconflictfailureandisverifiedbyexperiment.ThencombinedwithimprovedD・Sevidencetheoryfusionalgorithm,presentsaDDoSattackdetectionmodelbasedonEucalyptusprivatecloudcomputingplatform,themodeldeploysintrusiondet
5、ectionsysteminthenodevirtualmachine,deploysbasicprobabilityassignmentmoduleanddatafusionmoduleonfrontend.Modelusingthree-valuelogicandfaulttreeforthebasicprobabilityassignment,usingtheimprovedD-SevidencetheoryfusionalgorithmIMDSforinformationfusiononfrontend.Atlast,realizedtheprototypes
6、ystemwithasmallcluster,theattackdetectionexperimentshowthemodelandalgorithmcaneffectivelyimprovetheeffectofDDoSattackdetectionofcloudplatform.Keywords:CloudComputing,DistributedDenialofServiceAttacks,D-SevidenceTheory,DataFusion,IntrusionDetection华中科技大学硕士学位论文目录摘要IAbstractII目录III1绪论1.1研究
7、背景及意义(1)1.2国内外研究现状(3)1.3论文主要内容和组织结构(6)2基于D-S证据理论的改进融合算法IMDS2.1Dempster-Shafer证据理论概述(8)2.2基于D-S证据理论的改进融合算法IMDS(13)2.3IMDS算法实验与结果分析(19)2.4本章小结(21)3基于Eucalyptus云平台的DDoS攻击检测模型3.1模型拓扑结构(22)3.2基于虚拟机的入侵检测系统模块(24)3.3基本概率分配模块(24)3.4数据融合模块(29)3.5本章小结(30)华中科技大学硕士学位论文4原型系统设计与实现4.1模型推导与系统架构
