Detection of Stealthy False Data Injection Attacks Against Cyber-Physical Systems: A Stochastic Coding Scheme

Haibin Guo; Zhong‐Hua Pang; Jian Sun; Jun Li

doi:10.1007/s11424-022-1005-z

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JOURNAL ARTICLE

Detection of Stealthy False Data Injection Attacks Against Cyber-Physical Systems: A Stochastic Coding Scheme

Haibin Guo Zhong‐Hua Pang Jian Sun Jun Li

Year: 2022 Journal: Journal of Systems Science and Complexity Vol: 35 (5)Pages: 1668-1684 Publisher: Springer Science+Business Media

DOI: 10.1007/s11424-022-1005-z

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Keywords:

Computer science Constant false alarm rate Residual Covariance Optimization problem False alarm Anomaly detection Detector Coding (social sciences) Algorithm Real-time computing Mathematical optimization Data mining Mathematics Artificial intelligence Statistics Telecommunications

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Smart Grid Security and Resilience

Physical Sciences → Engineering → Control and Systems Engineering

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Detection of Stealthy False Data Injection Attacks Against Cyber-Physical Systems: A Stochastic Coding Scheme

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