False Data Injection Attacks on Reinforcement Learning-Based Charging Coordination in Smart Grids and a Countermeasure

False Data Injection Attacks on Reinforcement Learning-Based Charging Coordination in Smart Grids and a Countermeasure

Reinforcement learning (RL) is proven effective in optimizing home battery charging coordination within smart grids. However, its vulnerability to adversarial behavior poses a significant challenge to the security and fairness of the charging process. In this study, we, first, craft five stealthy fa...

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Bibliographic Details
Main Authors: Amr A. Elshazly, Islam Elgarhy, Ahmed T. Eltoukhy, Mohamed Mahmoud, William Eberle, Maazen Alsabaan, Tariq Alshawi
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
security
false data injection
reinforcement learning
charging coordination
smart grid
Online Access:https://www.mdpi.com/2076-3417/14/23/10874

Internet

https://www.mdpi.com/2076-3417/14/23/10874

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