收稿日期:2021-06-21修回日期:2021-10-15第40卷第4期计算机仿真2023年4月文章编号:1006-9348(2023)04-0094-04虚假数据攻击下船舶电网安全检测技术研究韩祥,吴拓,李越曌(中国船舶及海洋工程设计研究院,上海200000)摘要:随着先进的传感、计算机、数字化、信息化等技术在船舶上的广泛应用,使船舶电力系统运行更加高效和智能化,但也增加了船舶电网的复杂性和开放性,使其存在许多潜在的虚假数据注入攻击(falsedatainjectionattack,FDIA),严重威胁船舶电网安全。为解决船舶电力系统易遭遇FDIA的问题,设计一种基于噪声动态估计卡尔曼滤波的检测残差法,运用上述方法检测FDIA。先建立船舶电网的三相电压状态空间模型,分析船舶电网系统遭受FDIA模型;进一步引入噪声在线估计,指数加权和动态滤波异常判据对基本无迹卡尔曼滤波器进行改进,并运用基于改进型卡尔曼滤波的检测残差法来检测FDIA的存在。通过Matlab对比实验得出,提出的方法具备良好的检测能力和优越的检测效果。关键词:船舶;改进型卡尔曼滤波;电力系统;虚假数据攻击中图分类号:TP391.9文献标识码:BResearchonShipPowerNetworkSecurityDetectionTechnologyUnderFalseDataAttackHANXiang,WUTuo,LIYue-zhao(MarineDesign&ResearchInstituteofChina,Shanghai200000,China)ABSTRACT:Withthewideapplicationofadvancedsensing,computer,digitization,informatizationandothertech-niquesinships,theshipelectricalpowersystemismoreeffective,butitalsoincreasesthecomplexityandopennessofelectricalpowersystem.Therearemanypotentialfalsedatainjectionattacks(FDIA),whichseriouslythreatenthesecurityofshipelectricalpowersystems.Basedonthis,consideringtheissuethattheshipelectricalpowersystemisvulnerabletoFDIA,thisarticleproposesaresidualmeansonaccountofdynamicnoiseestimationKalmanfilter,andusesthismethodtodetectFDIA.Firstly,thethree-phasevoltagestatespacemodelofshippowernetworkwasestab-lished.Then,themodeloftheshipelectricalpowersystemsufferingfromFDIAwasanalyzed.Furthermore,thebasicuntrackedKalmanfilterwasimprovedbyintroducingonlinenoiseestimation,exponentialweightinganddynamicfil-teringanomalycriterion,andtheresidualmeansonaccountofthemodifiedKalmanfilterwasusedfordetectingthepresenceofFDIA.Thelast,throughMatlabcomparativeexperiments,them...
