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False Data Injection Attacks on Smart Grids: Attack Models, Challenges and Future Directions
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DOI：10.1007/s10207-026-01262-w.png)
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Abstract
En 中文
Modernizing the electric power grid through advanced communications and intelligent devices has improved efficiency andreliability, but it has also expanded the cyberattack surface. One of the most consequential integrity threats is False DataInjection Attacks (FDIAs), which can compromise the measurements and data streams that underpin monitoring, protection,and control functions. This paper surveys FDIA research in smart grids and organizes attack targets into five domains: steady-state control; transient and auxiliary control; substation control; energy and load control; and AI-based systems. We reviewhow attackers construct stealthy and data-driven FDIAs, summarize their physical and economic impacts, and discuss whymany existing detection mechanisms remain vulnerable. Finally, we highlight open challenges and outline research directionstoward resilient, attack-aware grid architectures.
Keywords:
Smart Grid
Cybersecurity
Risk analysis
False Data Injection Attacks
Cyber Physical systems
Power System Resilience
Power System Reliability
Journal
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3.2
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136
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1.8K