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May 17, 2026International Journal of Information Security1 citationsOpen Access

False Data Injection Attacks on Smart Grids: Attack Models, Challenges and Future Directions

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TCToro Dama CalebSSSicong ShaoNKNaima Kaabouch

Key Points

  • To examine the integrity threat posed by False Data Injection Attacks in smart grids and survey existing research and challenges.
  • Organized attack targets into five domains: steady-state control, transient and auxiliary control, substation control, energy and load control, AI-based systems.
  • Reviewed construction methods of stealthy and data-driven FDIAs.
  • Analyzed existing detection mechanisms for vulnerabilities.
  • Identified significant physical and economic impacts of FDIAs on smart grid systems.
  • Highlighted vulnerabilities in current detection methods used against FDIAs.
  • Outlined open challenges and future research directions for resilient grid architectures.

Abstract

Abstract Modernizing the electric power grid through advanced communications and intelligent devices has improved efficiency and reliability, but it has also expanded the cyberattack surface. One of the most consequential integrity threats is False Data Injection 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 review how attackers construct stealthy and data-driven FDIAs, summarize their physical and economic impacts, and discuss why many existing detection mechanisms remain vulnerable. Finally, we highlight open challenges and outline research directions toward resilient, attack-aware grid architectures.

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Cite This Study

Caleb et al. (2026) studied this question.

synapsesocial.com/papers/6a095c037880e6d24efe1e83https://doi.org/10.1007/s10207-026-01262-w
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