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Data-Driven False Data-Injection Attack Design and Detection in Cyber-Physical Systems
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DOI：10.1109/TCYB.2020.2969320.png)
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摘要
En 中文
In this article, a data-driven design scheme of undetectable false data-injection attacks against cyber-physical systems is proposed first, with the aid of the subspace identification technique. Then, the impacts of undetectable false data-injection attacks are evaluated by solving a constrained optimization problem, with the constraints of undetectability and energy limitation considered. Moreover, the detection of designed data-driven false data-injection attacks is investigated via the coding theory. Finally, the simulations on the model of a flight vehicle are illustrated to verify the effectiveness of the proposed methods.
Keyword:
Cyber-physical systems
State estimation
Detectors
Information theory
Data models
Optimization
Cybernetics
Coding theory
cyber-physical systems
data driven
false data-injection attacks
security
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期刊
IF:
10.5
论文数:
1.1W
被引数:
5.0W
机构
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