A Long Short Term Memory Network-Based False Data Injection Cyberattack Detection and Mitigation in DC Microgrids

Integrating more renewable energy sources into dc microgrids necessitates the addition of control layers and communication channels, which can introduce vulnerabilities to cyberattacks. This paper presents an AI-based approach for detecting and countering False Data Injection Attacks (FDIAs) in thes...

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Главные авторы:	Abdelrahman S. Heikal, Ibrahim Mohamed Diaaeldin, Niveen M. Badra, Mahmoud A. Attia, Othman Ahmed M. Omar, Ahmed Haitham El-Ebiary, Hyun-Soo Kang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2026-01-01
Серии:	IEEE Access
Предметы:	Cyber-security microgrids false data injection attacks an artificial neural network
Online-ссылка:	https://ieeexplore.ieee.org/document/11397618/
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