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High-Stealth False Data Attacks on Overloading Multiple Lines in Power Systems

delete2023-03-01
delete7
PRE
AI
M
Min Du
L
Lianhong Wang *
Y
Yicong Zhou
DOI:10.1109/TSG.2022.3209524delete
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摘要

摘要

En 中文
In this letter, we present a single mixed-integer linear programming (MILP) model for high-stealth false data attacks (FDAs) on overloading a set of lines by injecting stealthy false data. The proposed model reveals that an intelligent attacker is able to deliberately construct a valid attack vector to overload multiple transmission lines while hiding it among normal data to evade advanced anomaly detection methods. In addition, the proposed cyber-attack mode can help the attacker optimally select the targeted lines. Simulation results on multiple large-scale test systems validate the effectiveness of the proposed approach.
Keyword:
Data models
Security
Indexes
Power systems
Power measurement
Loss measurement
Load modeling
Cyber-attacks
multiple lines overloaded
high stealth
power systems

期刊

IEEE Transactions on Smart Grid 封面图
IEEE Transactions on Smart Grid
IF:
9.8
论文数:
5.7K
被引数:
4.3W

机构

H
hunan university
学者数:
4.5W
论文数: 3.3W
被引数: 70
U
University of Macau
学者数:
1.1W
论文数: 1.3W
被引数: 2.0W
引用论文

引用论文

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Detecting Stealthy False Data Injection Using Machine Learning in Smart Grid
err2017-09-01
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PREAI
errEsmalifalak, Mohammad; Liu, Lanchao; Nguyen, Nam; Zheng, Rong; Han, Zhu
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Dummy Data Attacks in Power Systems
err2020-03-01
err30
PREAI
errLiu, Xuan; Song, Yufei; Li, Zuyi
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