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A Novel Dynamic Watermarking-Based EKF Detection Method for FDIAs in Smart Grid 被引量:1

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摘要 Dear editor,The existing bad data detection(BDD)cannot effectively detect false data injection attacks(FDIAs)in smart grid.The objectiveness of this letter is to investigate a novel dynamic watermarking(DW)-based extended Kalman filter(EKF)detection method to detect FDIAs.Firstly,security weakness of traditional χ^(2) detector is analyzed,and a novel DW-based EKF detection method is proposed for FDIAs.Secondly,the detection effectiveness and security property of the proposed method are analyzed theoretically,where not only the positive correlation between the detection performance and DW signal intensity but also zero impact of FDIAs not being detected on smart grid(SG)are revealed.Finally,the effectiveness of the proposed method is confirmed by experimental results.
出处 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2022年第7期1319-1322,共4页 自动化学报(英文版)
基金 The work was supported in part by the National Science Foundation of China(92067106,61773253,61803252,61833011) Project of Science and Technology Commission of Shanghai Municipality(20JC1414000,19510750300,21190780300).
关键词 EDITOR SMART DYNAMIC
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