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...

Descripció completa

Dades bibliogràfiques
Autors principals: Xixiang Lin, Dou An, Feifei Cui, Feiye Zhang
Format: Article
Idioma:English
Publicat: Frontiers Media S.A. 2023-01-01
Col·lecció:Frontiers in Energy Research
Matèries:
state estimation
deep reinforcement learning
attack detection
smart grid
false data injection attack
Accés en línia:https://www.frontiersin.org/articles/10.3389/fenrg.2022.1104989/full

Internet

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

Ítems similars