Square-root Extended Kalman Filter-based Detection of False Data Injection Attack in Smart Grids
Author:
Affiliation:
1. Yanshan University,Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province,Qinhuangdao,China
2. China Mobile Group Design Institute Co., Ltd,Beijing,China,100080
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9712847/9712848/09713070.pdf?arnumber=9713070
Reference22 articles.
1. Detecting Stealthy False Data Injection Using Machine Learning in Smart Grid
2. A Review of False Data Injection Attacks Against Modern Power Systems
3. Bilevel Model for Analyzing Coordinated Cyber-Physical Attacks on Power Systems
4. Noncircular Attacks on Phasor Measurement Units for State Estimation in Smart Grid
5. Real-Time Detection of Hybrid and Stealthy Cyber-Attacks in Smart Grid
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1. Fuzzy Adaptive Approaches for Robust Containment Control in Nonlinear Multi-Agent Systems under False Data Injection Attacks;Fractal and Fractional;2024-08-28
2. Robust Data-Driven Adversarial False Data Injection Attack Detection Method With Deep Q-Network in Power Systems;IEEE Transactions on Industrial Informatics;2024-08
3. The Method for smart grid false data injection attack detection based on multilevel fingerprint identity authentication;Journal of Physics: Conference Series;2024-06-01
4. Detection of False Data Injection Attacks on Smart Grids Based on A-BiTG Approach;Electronics;2024-05-15
5. Detection of False Data Injection Attacks in Smart Grids Under Power Fluctuation Uncertainty Based on Deep Learning;2023 International Conference on Power System Technology (PowerCon);2023-09-21
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