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

被引:0
作者
Maleki, Sajjad [1 ,2 ]
Pan, Shijie [3 ]
Lakshminarayana, Subhash [1 ]
Konstantinou, Charalambos [3 ]
机构
[1] Univ Warwick, Sch Engn, Warwick CV4 7AL, Warwick, England
[2] CY Cergy Paris Univ, ETIS UMR 8051, ENSEA, CNRS, F-95000 Cergy, France
[3] King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 23955, Saudi Arabia
来源
IEEE OPEN ACCESS JOURNAL OF POWER AND ENERGY | 2025年 / 12卷
基金
英国工程与自然科学研究理事会;
关键词
Power grids; Surveys; Security; Computer crime; Internet of Things; Prevention and mitigation; Threat modeling; Reviews; Power system stability; Botnet; Load-altering attacks; impact analysis; detection; localization; attack mitigation; survey; DATA INJECTION ATTACKS; ELECTRICITY MARKETS; TOPOLOGY; SYSTEMS; IDENTIFICATION; PROTECTION; RESOURCES; NETWORKS; SECURITY; STRATEGY;
D O I
10.1109/OAJPE.2025.3562052
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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.
引用
收藏
页码:220 / 234
页数:15
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