Survey of Load-Altering Attacks Against Power Grids: Attack Impact, Detection, and Mitigation

The growing penetration of IoT devices in power grids despite its benefits, raises cybersecurity concerns. In particular, load-altering attacks (LAAs) targeting high-wattage IoT-controllable load devices pose serious risks to grid stability and disrupt electricity markets. This paper provides a comprehensive review of LAAs, highlighting the threat model, analyzing their impact on transmission and distribution networks, and the electricity market dynamics. We also review the detection and localization schemes for LAAs that employ either model-based or data-driven approaches, with some hybrid methods combining the strengths of both. Additionally, mitigation techniques are examined, focusing on both preventive measures, designed to thwart attack execution, and reactive methods, which aim to optimize responses to ongoing attacks. We look into the application of each study and highlight potential streams for future research.

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Publication Details

Journal
IEEE Open Access Journal of Power and Energy
Published
2025-01-01
DOI
https://doi.org/10.1109/oajpe.2025.3562052
Citations
9
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
10.93

Funders

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article

Survey of Load-Altering Attacks Against Power Grids: Attack Impact, Detection, and Mitigation

Charalambos Konstantinou, Subhash Lakshminarayana, Sajjad Maleki, Shijie Pan
9 citations
IEEE Open Access Journal of Power and Energy
Smart Grid Security and Resilience
10.93
article

Survey of Load-Altering Attacks Against Power Grids: Attack Impact, Detection, and Mitigation

Charalambos Konstantinou, Subhash Lakshminarayana, Sajjad Maleki, Shijie Pan
article en
9 citations

Abstract

The growing penetration of IoT devices in power grids despite its benefits, raises cybersecurity concerns. In particular, load-altering attacks (LAAs) targeting high-wattage IoT-controllable load devices pose serious risks to grid stability and disrupt electricity markets. This paper provides a comprehensive review of LAAs, highlighting the threat model, analyzing their impact on transmission and distribution networks, and the electricity market dynamics. We also review the detection and localization schemes for LAAs that employ either model-based or data-driven approaches, with some hybrid methods combining the strengths of both. Additionally, mitigation techniques are examined, focusing on both preventive measures, designed to thwart attack execution, and reactive methods, which aim to optimize responses to ongoing attacks. We look into the application of each study and highlight potential streams for future research.

IEEE Open Access Journal of Power and EnergyVol. 12
University of Warwick (GB), King Abdullah University of Science and Technology (SA)
University of Warwick, King Abdullah University of Science and Technology, Engineering and Physical Sciences Research Council
Climate action
Openalex Percentile: Top 1%
Smart Grid Security and Resilience
10.93
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