Invisible Manipulation: Deep Reinforcement Learning-Enhanced Stealthy Attacks on Battery Energy Management Systems

This paper introduces an innovative cyber-attack scheme, “invisible manipulation,” utilizing timed-stealthy false data injection attacks (Timed-SFDIAs). By subtly altering critical measurements ahead of a target period, the attacker covertly steers system operations toward a specific f...

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Auteurs principaux:	Qi Xiao, Lidong Song, Jong Ha Woo, Rongxing Hu, Bei Xu, Kai Ye, Ning Lu
Format:	Artigo
Langue:	Inglês
Publié:	IEEE 2025-01-01
Collection:	IEEE Access
Sujets:	Cyber-physical attacks deep reinforcement learning timed stealthy false data injection (SFDIA) invisible manipulation attacks state-of-charge (SoC) estimation
Accès en ligne:	https://ieeexplore.ieee.org/document/11084779/
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