High Risk Regional Load Attacks in Smart Grid

This letter develops a high-risk regional load attack mechanism in smart grids with incomplete network information. Different from previous research, this attack mechanism enables an attacker to launch a regional load attack with network information about an arbitrary attack region, while minimising the deviation in corrupted data to enhance the stealth of this attack. Such an attack only corrupts a limited number of loads while still overloading multiple lines within a targeted attack region, resulting in significant impacts on smart grids. Case studies conducted on two modified IEEE test systems validate the effectiveness of our proposed attack mechanism and pave the foundation for the future development of practical defensive strategies.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-04-25
DOI
https://doi.org/10.1109/jiot.2025.3564490
Citations
2
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
2.43

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article

High Risk Regional Load Attacks in Smart Grid

Junbo Zhao, Xin Zhang, Min Du
2 citations
IEEE Internet of Things Journal
Smart Grid Security and Resilience
2.43
article

High Risk Regional Load Attacks in Smart Grid

Junbo Zhao, Xin Zhang, Min Du
article en
2 citations

Abstract

This letter develops a high-risk regional load attack mechanism in smart grids with incomplete network information. Different from previous research, this attack mechanism enables an attacker to launch a regional load attack with network information about an arbitrary attack region, while minimising the deviation in corrupted data to enhance the stealth of this attack. Such an attack only corrupts a limited number of loads while still overloading multiple lines within a targeted attack region, resulting in significant impacts on smart grids. Case studies conducted on two modified IEEE test systems validate the effectiveness of our proposed attack mechanism and pave the foundation for the future development of practical defensive strategies.

IEEE Internet of Things JournalVol. 12(16)
University of Connecticut (US), University of Sheffield (GB)
UK Research and Innovation, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 12%
Smart Grid Security and Resilience
2.43
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High Risk Regional Load Attacks in Smart Grid — Junbo Zhao, Xin Zhang, et al. · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS