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SmartGrid,2018,8(1),1-7PublishedOnlineFebruary2018inHans.://doi.org/10.12677/sg.2018.81001:,,,,.[J].,2018,8(1):1-7.DOI:10.12677/sg.2018.81001SecurityAnalysisandEarlyWarningResearchofPowerBigDataWeiMeng1,YudongWang1,JinmeiYang2,BinLiu3,MaoLin31InformationandCommunicationCompany,StateGridLiaoningElectricPowerCo.,Ltd,ShenyangLiaoning2ZhaoyangPowerSupplyCompany,StateGridLiaoningElectricPowerCo.,Ltd,ZhaoyangLiaoning3NanjingNARIGroupCorporation,NanjingJiangsuReceived:Jan.10th,2018;accepted:Jan.23rd,2018;published:Feb.1st,2018AbstractWiththedevelopmentofpowergridtechnology,especiallythedeepintegrationofpowergridandinformationtechnology,moreandmoredatahavebeenaccumulatedbyelectricpowerenterpris-es.Thesedataarethecoreassetsofthepowerenterprises,whichcontainalotofvalueinforma-tion,andarealsothetargetoftheunlawfullyattacked.Inthispaper,abigdatasecurityearlywarningarchitectureandcorealgorithmsareproposedbasedonthesafetyanalysisandearlywarningresearchofpowerbigdata.Theexperimentresultsshowthattheproposedarchitectureandcorealgorithmsachievemonitoringandwarningsofsecurityevents,andjudgethesecuritysituationintelligently.KeywordsBigDataSecurity,MachineLearning,KernelDensityEstimation,MarkovLogicNetwork1123312320181102018123201821DOI:10.12677/sg.2018.810012Copyright?2018byauthorsandHansPublishersInc.ThisworkislicensedundertheCreativeCommonsAttributionInternationalLicense(CCBY).[1][2][3][4]SG186SG-ERP/4[5]5PBDVD1500[6](BigData)[7][4][6][8][9]2.OpenAccessDOI:10.12677/sg.2018.810013[10]80%NoSQL2.1.(),[11]2.2.NoSQLSQL[12]NoSQLNoSQLSQLNoSQL[13][14]2.3.[12]1)[11]2),3)[11]3.[15]DOI:10.12677/sg.2018.8100143.1.()3.2.1)2)IPIPIP3)3.3.----1kafkastorm3.4.224.44.1.IDDOI:10.12677/sg.2018.810015Figure1.Powerbigdatasecurityanalysisandearlywarningarchitecture1.Figure2.Machinelearningmonitoringframework2.DOI:10.12677/sg.2018.8100164.2.4.3.1)(DensityEstimation)RosenblattParzen[16]()()11,nhhiifxKxxxRn==-(1)1x2xnxnf().K011h2)[17]4.4.1?niiiixxnx=-,(2)n?ixix[18]()212211??niiinniiiixxnxnxn===-+.(3)DOI:10.12677/sg.2018.810017010[18]5.(References)[1],.[J].,2014,10(2):21-24.[2].[J],,2010,11(1):104-106.[3][4].[J].,2014(24):20-24.[5],,,.[J].,2015,4(6):1829-1836.[6],.[J],,2016,11(4):23-26.[7],,,.[J].,2017,1(2):72-91.[8],[EB/OL].[9],[EB/OL].[10],,.[J].,2017,3(1):335-349.[11].[D]:[].:,2012.[12].[D]:[].:,2013.[13],.[J].,2005,2(1):6-11.[14].[J].,2015,11:372-373.[15].[J].,2014(8):137-138.[16],,,.[J].,2015(7):21-27.[17],,,.[J].,2016,10(1):104-107.[18],,,.[J].,2016(6):83-92.1.=WWJD[ISSN]ISSN2161-87632.://@hanspub.org