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        首页 互联网数据分析合作协会

        互联网数据分析合作协会.ppt

        互联网数据分析合作协会

        中小学精品课件
        2019-04-27 0人阅读 举报 0 0 0 暂无简介

        简介:本文档为《互联网数据分析合作协会ppt》,可适用于综合领域

        CAIDAORGCooperativeAssociationforInternetDataAnalysis互联网数据分析合作协会CAIDAWebSiteBackgroundTheCooperativeAssociationforInternetDataAnalysis(CAIDA)islocatedattheSanDiegoSupercomputerCenter(SDSC)onthecampusoftheUniversityofCalifornia,SanDiegoCAIDA坐落于加州大学圣迭戈分校中的圣迭戈超级计算中心。Backgroundprovidestoolsandanalysespromotingtheengineeringandmaintenanceofarobust,scalableglobalInternetinfrastructure为协助建造和保持一个健壮的、可扩展的全球互联网结构提供工具和分析。ContentofCAIDAToolsAnalysisOutreachProjectsMembersToolsDevelopedbyCAIDAinmeasurementAutoFocusBelugaCflowdCoralReefIffinderMantraNeTrametRTGScamperskitterToolsDevelopedbyCAIDAinvisualizationGeoPlotGTraceLibSeaMapnetOtterPlanktonPlotlatlongPlotpathsWalrusOtherToolsDevelopedbyCAIDAArtsDnsstatDnstopFlowScanChart::GraphNetGeoOwlRRDtoolAnalysisCAIDAcollects,monitors,analyzes,andvisualizesseveralformsofInternettrafficdataconcerningnetworktopology,workloadcharacterization,performance,routing,andmulticastbehaviorCAIDA收集、监控、分析和可视化以下几种互联网流量数据:关于网络拓扑、工作量特性、性能、路由和多播行为。AnalysisTheseanalysesserveavarietyofdisciplinespurposes,includingresearch,policy,education,andvisualization这些分析为各种学科用途提供服务包括研究、策略制定、教育和可视化。AnalysisTopologyWorkloadCharacterizationPerformanceRoutingMulticastSecurityOutreachThetransferoftechnologyisfundamentaltoCAIDA'smissionCAIDA'songoingoutreacheffortsareintendedtoenhancecommunitycapabilitiesassociatedwithdesigning,operating,andresearchingnetworktechnologies传播技术是CAIDA的使命中重要的一部分。CAIDA正在进行的努力是要加强和设计、运行和研究网络技术有关的沟通能力。OutreachCAIDAoutreacheffortshaveincludedworkshopsonPassiveTrafficMonitoringandAnalysis(January)NetworkVisualization(April)useofcflowdforrouterbasedmonitoring(September)anduseofRRDtoolfortrendanalysis(September)CAIDA的对外工作包括被动流量测量会议()网络可视化会议()cflowd在基于路由器的监测中的使用的会议()RRDtool在趋势分析中的使用的会议()。OutreachCAIDAhashostedseveraltrainingsessionsforuniversityfaculty,includingadaycourseonnetworksimulation(VINTns),aTCPanalysiscourse,aroutingclass,andaTrafficAnalysisclassAsimilardayworkshopwasheldinJuneInsupportoftheITLprogram,anITLonlyworkshopwasheldinJuneCAIDA还主办了几个针对大学教师的培训。OutreachISMAInternetStatisticsandMetricsAnalysisWorkshopsISMAworkshopsareheldtodiscussthecurrentandfuturestateofInternetmeasurementandanalysis互联网统计和测量分析会议是来讨论当前和未来的互联网测量和分析的形势。OutreachISMAInternetStatisticsandMetricsAnalysisWorkshopsTheintentoftheworkshopsaretofacilitatediscussionamongcommunitiesofacademia,equipmentvendors,andserviceproviders,whoshareaninterestinandincentivetounderstandoneanother'sinterestsandconcernswithInternetstatisticsandanalysis这个会议的目的是方便学术界团体设备提供商和服务提供商之间的交流。OutreachIECInternetEngineeringCurriculumRepositoryTheInternetEngineeringCurriculumRepository(IEC)isaprojectofCAIDA(CooperativeAssociationforInternetDataAnalysis)tohelpeducatorsandothersinterestedinInternettechnologykeepupwithdevelopmentsinthefield互联网工程课程库是CAIDA的一个项目来帮助教育工作者和其他对互联网技术有兴趣的人紧跟这个领域的发展。OutreachITLInternetTeachingLaboratoriesAsanextensionoftheIECproject,CAIDAwillhelpdevelopInternetTeachingLaboratory(ITL)facilitiesatseveralUSCollegesandUniversitiesFewnetworkingcoursesincludeahandsonlaboratorycomponent,oftenduetoalackofequipment作为IEC项目的扩展CAIDA还将在几个美国大学帮助发展互联网教学实验室。很少的网络课程有动手操作的实验室这多数是由于缺少设备。OutreachITLInternetTeachingLaboratoriesCAIDAhasreceivedagenerousdonationofrouters,interfacecards,CSUDSUs,softwareandengineeringexpertisefromCiscoSystems,CableandWireless,andMCIWorldcomthatwewillusetobuildITLsataboutUSUniversitiesCAIDA从CiscoMCI和世通等公司收到了一些慷慨的捐助包括路由器接口卡信道服务单元数据服务单元软件和硬件会用于在美国的所大学建设实验室。ProjectsCAIDAisactivelyinvolvedwithseveralInternetrelatedprojectsCAIDA积极参与了和互联网有关的项目。ProjectsAnalysisVisualizationofIPConnectivity()AnalysisVisualizationofIPConnectivityPrimarymembers:kclaffyPhDUCSDComputerScienceEngineering,BradleyHuffakerMSUCSDComputingScienceEngineering,AnalysisVisualizationofIPConnectivityWewouldliketobuildonthesuccessofourlasttwoyearsofresearchandanalysisofInternetconnectivity,whichCiscohasfoundusefulfrombotharesearchandoperationalperspectiveforthelasttwoyears这个项目研究目标是研究和分析互联网的连接,之前的两年他们也一直在做,是和Cisco合作Cisco认可了他们前两年的研究成果认为在研究和实际操作方面都比较有用所以继续给与支持。AnalysisVisualizationofIPConnectivityForourgoalwillbetoderivethreenewconnectivityinformationmaps,whichwillinvolveanalysis,andvisualizationcomponents,aswellascreatingpublicallyavailablesoftwareanddatabasesthatwillsupportthecommunityinawidevarietyofoperationalanalysisandresearchtasks这个项目到年的目标是得到三个新的连接信息的地图包括了分析和可视化部分。同时要创建公众可用的软件和数据库广泛地为其他的进行实际操作分析和研究工作的组织提供支持。AnalysisVisualizationofIPConnectivityDepictinterASconnectivityatanorganizational(commonASadministration)granularityaswellasASgranularity,whichwillrequirenewsupportingCAIDAsoftwarethatintelligentlysynthesizesregistryinformationfromseveraldisparatesourcesWealreadyhaveresearchagreementswiththefourmainaddressregistriesforbulkaccesstotheirregistrydata描绘一个自治系统的连接图。AnalysisVisualizationofIPConnectivityDevelopapoplevelmapoftheInternetwithasmuchpolicystructureaswecandirectlygatherandindirectlyinferCAIDAwilluse,andextendwherenecessary,toolsdevelopedinlastyear'sURBprojecttogatherthedataforthistask开发一个互联网地图包括尽可能多的结构直接收集到或者间接推断都可以。AnalysisVisualizationofIPConnectivityBuildahierachicallystructuredtopologymapoftheIPvInternetandcorrelatestructureandgrowthpatternswiththatofIPvtopologyThistaskrelieson:()anactiveWIDECAIDAcollaborationonIPvmacroscopictopologymeasurement()yearsofpreviousCAIDAworkinIPvtopologyanalysis建立一个IPv的层次结构的拓扑图。AnalysisVisualizationofIPConnectivityThisprojectinvolvesthreelevelsofcontributions:thevisualmaps,andtheinsightstheyrevealtononexpertstheassociatedtopologyknowledgebasesthesupportingmeasurement,analysis,andpresentationsoftwareProjects(NSF)NeTSNRTowardMathematicallyRigorousNextGenerationRoutingProtocolsforRealisticNetworkTopologies()(NSF)MostexpertsagreethattheexistingdatanetworkarchitectureisseverelystressedandreachingitscapabilitylimitsTheevolutionarydynamicsofseveralcriticalcomponentsoftheinfrastructuresuggestthattheexistingsystemwillnotscaleproperlytoaccommodateevenanotherdecadeofgrowth多数专家认为现存的数据网络结构已经不堪重负。这个结构中的重要部分的发展已经预示着现存的系统已经不能再正常的扩大了即使是只容纳年的增长。(NSF)Amathematicallyrigorousformulationofscalabilityaspectsofroutinginnetworksisawellstudiedprobleminthetheoryofdistributedcomputation?对网络路由在可扩展性方面用数学上的严格公式表示这是一个已经在分布计算理论中研究得很好的问题了。(NSF)Atthecoreofthisproblemisatriangleoftradeoffsamongroutingtablesize,convergenceparameters,andpathlengthinflationBy``tradeoff''wemeanthat,forexample,routingtablesizedecreasecomesatapriceofincreaseinaveragepathlength这个问题的核心是在路由表的大小收敛参数和路径长度的增加三个方面作交换?!敖换弧钡囊馑际潜热缏酚杀淼募跣∈且云骄肪冻ざ鹊脑黾游鄣?。(NSF)Weproposetoopenanewareaofresearchfocusedonapplyingkeytheoreticalroutingresultsindistributedcomputationtoextremelypracticalpurposes,iefixingtheInternet这个项目的目的是研究如何应用主要路由理论应用领域从分布式计算到极端的应用目的也就是修复互联网。(NSF)Therefore,thefirsthighlevelquestionweseektoansweris:willaviablenextgenerationdatanetworkarchitecturerequirea(bydefinitionradical)paradigmshiftForexample,willgraphtheoreticabstractionofnetworktopologyeventuallybeinsufficient总之第一个我们寻求回答的高层次问题是:可行的下一代数据网络需要模型的改变吗?比如用图论来作为对网络拓扑的抽象还能行吗?(NSF)Threerelatedandclearlydefinedtasks:)executethenextsteponthepathtowardconstructionofpracticallyacceptablenextgenerationroutingprotocolsbasedonmathematicallyrigorousroutingalgorithms朝着制定实用的可接受的基于数学上严格的路由算法的下一代路由协议的目标继续走下去。)validatetheapplicabilityoftheabovealgorithmsagainstseveralsourcesofrealInternettopologydata验证上述算法在几个实际的互联网拓扑数据源的情况下的可用性。(NSF))buildandevaluateamodelforInternettopologyevolution,whichreflectsfundamentallawsofevolutionoflargescalenetworks为互联网拓扑的进化发展建立模型并且进行评价这个模型反映大规模网络的发展的基本规律。(NSF)TheextensionofnetworkmodelingmethodologyproposedinthissectionwillhaveimpactbeyondtherealmofthecurrentInternetIndeed,theresultswillbeelegantlygenericinnaturetheywillshedlightonevolutionofnotonlytheInternetbutalsoofmanyothertypesofselfevolvinglargescalenetworks,suchasbiological,social,andlanguagenetworks网络模型方法论的扩展将超出现有的互联网的领域。事实上研究的结果在自然界非常通用不仅适用于互联网还是用于其它的自进化的大规模网络比如生物、社会和语言网络。ProjectsNSF:QuantitativeNetworkSecurityAnalysis()QuantitativeNetworkSecurityAnalysisThefieldofsystemsecurityresearchhaslongbeendominatedbyindividualqualitativeresultseitherdemonstrationsofindividualsystemvulnerabilitiesorexpositionsontheprotectionprovidedbyindividualsecuritymeasures(eg,firewalls,virusdetectors,IDSsystems,etc)系统安全研究领域很长时间以来都被单独的定性的结论统治或者是系统的缺点或者是单独的安全措施(防火墙病毒监控入侵检测系统等)?;は卤┞冻隼吹娜醯?。QuantitativeNetworkSecurityAnalysisThesecontributions,thoughclearlyvaluable,aredifficulttoevaluatewithoutacomplementaryquantitativecontextdescribingtheprevalenceandimpactofvariousattacks,vulnerabilities,andresponses这些定性的结论虽然明显是有价值的但是没有作为补充的定量的上下文来描述各种攻击、缺点的流行和影响这些结论是很难评价的。QuantitativeNetworkSecurityAnalysisTheneedforempiricaldataofthistypeiscritical,bothforguidingfuturesecurityresearchandtoprovideawellreasonedbasisfordevelopingoperationalbestpractices为了引导将来的安全研究和为开发出可操作的最好的实际系统提供充分论证基础对这种经验数据的需要都是很紧迫的。QuantitativeNetworkSecurityAnalysisAtthesametime,therearetremendouschallengesincollectingandanalyzingnetworkinformationatsufficientscalethatthesefindingsaregloballymeaningful同时要在足够大范围内收集和分析对全球都有意义的网络信息还存在着很大的挑战。QuantitativeNetworkSecurityAnalysisInpreviouswork,wehavedemonstratedtechniquesforattackingtheseproblemsinthecontextofInternetconnectedsystemsparticularlyfocusingonlargescaleattackssuchasdenialofserviceandselfpropagatingnetworkworms目前他们已经找到了处理这些问题的技术有关互联系统的上下文尤其是大规模攻击比如DoS攻击和自我繁殖的网络蠕虫攻击。QuantitativeNetworkSecurityAnalysisUsinganewtechnique,called'backscatteranalysis',combinedwiththelargeaddressspace'networktelescope'wehavedevelopedatUCSD,wehavebeenabletomonitortheglobalprevalenceofdenialofservice(DoS)activityontheInternet他们新开发了一项新技术叫做“背向散射分析”结合已经在加州大学圣迭戈分??⒊晒Φ挠芯薮蟮刂房占涞摹巴缤毒怠彼强梢约嗫谼oS攻击全球互联网的流行情况。QuantitativeNetworkSecurityAnalysisOurapproachallowsustoquantitativelymeasureeachindividualattack,itsduration,itsintensity,andidentifythevictimandtheservicestargetedOurinitialstudydemonstratedthatDoSattacksoccurwithgreatfrequencyandtargetawidevarietyofsitesandnetworkinfrastructure前面的工作使我们能定量的分析每个攻击他的持续时间强度识别受害者和被攻击的服务。前面的研究表明DoS攻击在频繁的发生攻击各种网站和网络结构。QuantitativeNetworkSecurityAnalysisInrelatedwork,wehaveusedasimilarapproachtomonitorthespreadofInternetwormssuchasCodeRedandNimda最近他们还使用了类似的方法来监控互联网的病毒比如红色代码和尼姆达。QuantitativeNetworkSecurityAnalysisUsingthisdata,weidentifiedthegrowthpatternoftheseattacks,characterizedthevictimstoidentifycommontraitsthatmadethemvulnerable,andanalyzedtheeffectivenessofsecuritypersonnelinrepairingtheirsystemsacrosstheInternet用这些数据我们识别了这些攻击的增长模式描绘了受害者的特点确定了使他们容易受到攻击的共同特点分析了安全人员在通过互联网修复系统方面的效力。QuantitativeNetworkSecurityAnalysisFinally,wehavealsodevelopedapreliminaryanalysisofthetechnicalrequirementsforeffectivewormcountermeasures最后对高效的对付蠕虫的策略的技术要求我们已经作了初步的分析。QuantitativeNetworkSecurityAnalysisBycombiningspreadingmodels,populationdataextractedfromrealInternetwormepidemics,andmeasuredmodelsofInternettopology,wehaveshownthatanyreactivewormdefensewillrequireextremelywidespreaddeploymentandveryshortreactiontimes(afewminutesorless)通过结合传播模式、数量等从实际的互联网蠕虫的传播得来的数据以及对互联网拓扑结构的测量发现任何反应式的蠕虫防御需要广泛的部署和非常短的反应时间(即分钟或更少)。QuantitativeNetworkSecurityAnalysisUsingtheseideasasabasis,weproposetodevelopacombinationofnetworkanalysistechniquesandnetworkmeasurementinfrastructuretoanalyzelargescaleInternetsecuritythreats项目目标:上述思想作为基础我们要开发结合了网络网络分析技术和网络测量结构的系统来分析大规?;チ陌踩?。QuantitativeNetworkSecurityAnalysisInparticular,weplantoinvestigatethefollowingquestions:howdothenatureofthesethreatschangeovertime,howeffectiveareattackersatcompromisingservices,andhowwelldoexistingsecuritycountermeasuresprovideameaningfuldefenseagainstthesethreatsinpractice特别是我们计划研究下面的问题:这些威胁的是怎样随着时间变化的攻击者在危及服务安全的时候的有多高效现有的安全措施在面临这样的威胁的时候能提供什么样的?;??QuantitativeNetworkSecurityAnalysisWeexpecttobeabletomeasurethevastmajorityoflargescaleInternetattacksandcaptureglobalDoS,worm,andportscanactivityonanongoingbasis我们希望能测量大规模的互联网攻击的绝大部分并且捕捉到全球的DoS攻击蠕虫和对端口扫描活动。QuantitativeNetworkSecurityAnalysisWeplantoextendourbackscatteralgorithmsandmeasurementinfrastructuretotrackInternetattacksinrealtimeandactivelyprobevictimizedhoststounderstandtheimpactoftheseattacks,thedistributionofvariousvulnerabilities,andtheefficacyofemployedsecuritymeasures我们计划把我们的背向散射算法和测量结构扩展到实时追踪互联网攻击以及主动探测受到攻击的主机来了解这些攻击的影响各种弱点的分布和部署的安全措施的效果。QuantitativeNetworkSecurityAnalysisFinally,wewillmodifyourmonitorstoredirectasubsetofpacketstosimulatedhosts(asocalled'honeynet')toautomaticallyidentifyandcharacterizenewwormsastheyemerge我们还计划修改监控器重定向一些包到模拟主机(所谓的“honeynet”)在新的蠕虫刚出现的时候就自动识别和描述它们。QuantitativeNetworkSecurityAnalysisThepotentialimpactofthisproposalisthecreationofanempiricaldatasetthatdescribeslargescaleattacksacrosstheglobalInternet我们还会创建一个经验数据集描述全球互联网的大规模攻击。QuantitativeNetworkSecurityAnalysisMoreover,therealtimenatureofthisdatasetcouldbewidelyvaluableforoperationallydetecting,tracking,andcharacterizinglargescalethreatsastheyoccur此外这个数据集的实时特性会广泛的对实际的探测、跟踪和描述大规模威胁有价值。QuantitativeNetworkSecurityAnalysisGivenongoingrequestsfromgovernment,industry,andacademiathatwereceiveforourpreliminarydata,webelievethatthereiskeen,widespreadinterestforthelargescaledatathatweproposetocreate有了政府、工业界和学术界的要求我们收到了初步的数据我们相信对我们要创建的大规模数据会有急切的广泛传播的兴趣。InternetAtlasProject()InternetAtlasProject()InternetAtlasProject()Projectsipnc(InterProviderNotificationChannel)AnalysisVisualizationofBGPConnectivityAmongAutonomousSystemsNCS:RoutingAnalysisandPeeringPolicyforEnhancingInternetPerformanceandSecuritySDNAP(SanDiegoNetworkAccessPoint)ProjectsAtomsAtomisedRouting(CiscoURB)AdvancedTechniquestoDetectandControlGlobalSecurityThreatsNMSNetworkModelingandSimulationBandwidthEstimationProjectAnalysisoftheDNSrootandgTLDnameserversystemThankyouforyourattention!PresentedbysillnessleeAutoFocusAutoFocusisatrafficanalysisandvisualizationtoolthatdescribesthetrafficmixofalinkthroughtextualreportsandtimeseriesplotsAutoFocus是一个流量分析和可视化工具用文本报告和时间图表来显示结果。AutoFocusTabledisplayedbyAutoFocusAutoFocusChartdisplayedbyAutoFocusBelugaBelugaprovidesarealtimegraphofRTTsandpacketlosstoanendhost,showingbothtotalroundtriptimeandperhoproundtriptimeItalsoshowsahistoricalstatisticalbreakdownofRTTs,toallowtrendanalysisBegula提供了对一个终端主机往返时间和丢包率的实时图表显示全程的往返时间和每一跳的往返时间。图表还显示了历史统计的故障往返时间从而可以进行趋势分析。BelugaLivePlotdisplayedbyBelugaBelugaHistoryPlotdisplayedbyBelugaSkitterskitterisatoolforactivelyprobingtheInternetinordertoanalyzetopologyandperformanceskitter是一种用来主动探查互联网以达到分析拓扑和性能的目的的工具。SkitterSampleVisualizationfromskitterDataGTraceGTraceisagraphicalfrontendtotracerouteItusesacombinationofmethodstodetermineorguessatthephysicallocationofanodeinatraceroutepathItisflexibleenoughtosupportadditionofnewdatabases,heuristicstomapIPaddressestophysicallocationandmapsGTrace是traceroute的一个图形前端。它结合了多种方法来确定或者猜测traceroute路径中的一个节点的物理地址。它有很强的灵活性能支持添加新的数据库能把IP地址应设成物理位置和地图。GtraceMapfromGTraceOtterOtterisahistoricalCAIDAtoolusedforvisualizingarbitrarynetworkdatathatcanbeexpressedasasetofnodes,linksorpathsOtter是CAIDA用来把网络数据可视化的工具。能把那些可以表示为一些节点、链接或者路径的数据可视化。OtterGraphfromOtterPlotlatlongplotlatlongisasimpletoolforplottingpointsongeographicmapsgivenalistoflatitudelongitudepairsplotlatlong是给定一个纬度和经度对的列表时在地图上描绘点的简单工具。PlotlatlongMiscellaneouslocationsworldwidedisplayedbyplotlatlongPlotlatlongLocationsofUSzipcodesdisplayedbyplotlatlong

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