False data injection attack in smart grid: Attack model and reinforcement learning-based detection method

False data injection attack in smart grid: Attack model and reinforcement learning-based detection method

The smart grid, as a cyber-physical system, is vulnerable to attacks due to the diversified and open environment. The false data injection attack (FDIA) can threaten the grid security by constructing and injecting the falsified attack vector to bypass the system detection. Due to the diversity of at...

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Bibliografske podrobnosti
Main Authors: Xixiang Lin, Dou An, Feifei Cui, Feiye Zhang
Format: Article
Jezik:English
Izdano: Frontiers Media S.A. 2023-01-01
Serija:Frontiers in Energy Research
Teme:
state estimation
deep reinforcement learning
attack detection
smart grid
false data injection attack
Online dostop:https://www.frontiersin.org/articles/10.3389/fenrg.2022.1104989/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2022.1104989/full

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