ST-Former: A Physics-Guided Distributionally Robust Spatio-Temporal Framework for Reliable FDIA Detection Under Distribution Shift

The increasing digitalization of modern power systems has amplified their exposure to cyber threats, among which False Data Injection Attacks (FDIAs) pose a critical risk to grid reliability and economic operation. Conventional detection methods, typically based on residual or statistical tests, are...

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Autores principales:	Chenhan Xiao, Siyu Lu, Mostafa Mohammadpourfard, Yang Weng, Manohar Chamana, Suhas Pol
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2026-01-01
Colección:	IEEE Access
Materias:	False data injection attack distribution shift spatio-temporal long short-term memory distributionally robust optimization cyber-physical security
Acceso en línea:	https://ieeexplore.ieee.org/document/11456008/
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