Study On Optical Communications, Volume. 50, Issue 3, 23012501(2024)

Research on False Data Injection Attack Identification based on CNN-CBAM

Xianjun ZHOU... Ru WANG*, Hang LIU and Bo JIN |Show fewer author(s)
Author Affiliations
  • School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China
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    References(14)

    [1] He Y, Mendis G J, Wei J. Real-time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-based Intelligent Mechanism[J]. IEEE Transactions on Smart Grid, 8, 2505-2516(2017).

    [2] Zeng J R, Li P, Gao L et al. Detection of False Data Injection Attacks in Smart Grids based on TNPE[J]. China Security Production Science and Technology, 17, 124-129(2021).

    [3] Hu P. Detection of False Data Injection Attacks in Smart Grids based on Expectation Maximization[J]. Sensors, 23, 1683(2023).

    [4] Liu P Y, Li J K, Zheng B C. Design of Supervised Sliding Mode Security Control for Information Physics Systems[J]. Foreign Electronic Measurement Technology, 40, 159-164(2021).

    [5] Bo X. Active Defense Research Against False Data Injection Attacks of Power CPS based on Data-Driven Algorithms[J]. Energies, 15, 7432(2022).

    [6] Zhang F, Yang Q. False Data Injection Attack Detection in Dynamic Power Grid: A Recurrent Neural Network-based Method[J]. Frontiers in Energy Research, 10, 1005660(2022).

    [7] Rashedm M, Kamruzzaman J, Gondal et al. False Data Detection in a Clustered Smart Grid Using Unscented Kalman Filter[J]. IEEE Access, 10, 78548-78556(2022).

    [8] Li Q, Zhang J, Zhao J et al. Adaptive Hierarchical Cyber Attack Detection and Localization in Active Distribution Systems[J]. IEEE Transactions on Smart Grid, 13, 2369-2380(2022).

    [9] Huang X, Qin Z, Xie M et al. Defense of Massive False Data Injection Attack via Sparse Attack Points Considering Uncertain Topological Changes[J]. Journal of Modern Power Systems and Clean Energy, 10, 1588-1598(2022).

    [10] Wu D. Research on Power System Security Detection Technology under False Data Attacks[D](2020).

    [11] Sun L J, Gu X P, Liu T et al. A Deep Reinforcement Learning Algorithm based Active Power Safety Correction Method for Power Grids[J]. Power System Protection and Control, 50, 114-122(2022).

    [12] Ganjkhani M, Gilanifar M, Giraldo J et al. Integrated Cyber and Physical Anomaly Location and Classification in Power Distribution Systems[J]. IEEE Transactions on Industrial Informatics, 17, 7040-7049(2021).

    [13] Wang S, Bi S, Zhang Y J A. Locational Detection of the False Data Injection Attack in a Smart Grid: A Multilabel Classification Approach[J]. IEEE Internet of Things Journal, 7, 8218-8227(2020).

    [14] Shen K L, Yan W X, Ni H Y et al. Localization of False Data Injection Attack in Smart Grids based on SSA-CNN[J]. Information, 14, 180(2023).

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    Xianjun ZHOU, Ru WANG, Hang LIU, Bo JIN. Research on False Data Injection Attack Identification based on CNN-CBAM[J]. Study On Optical Communications, 2024, 50(3): 23012501

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    Paper Information

    Category: Research Articles

    Received: Aug. 6, 2023

    Accepted: --

    Published Online: Jul. 19, 2024

    The Author Email: WANG Ru (314742910@qq.com)

    DOI:10.13756/j.gtxyj.2024.230125

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