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...
| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Frontiers Media S.A.
2023-01-01
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| سلاسل: | Frontiers in Energy Research |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1104989/full |