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RoboLSTM-IDS: multi-dataset evaluation of deep learning framework for UAV network

The growing deployment of uncrewed aerial vehicles (UAV) in autonomous and networked missions has heightened their exposure to both cyber and cyber-physical attacks, underscoring the need for intelligent and lightweight intrusion detection systems (IDS) solutions. This study introduces RoboLSTM-IDS,...

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Auteurs principaux: Hafiz Muhammad Attaullah, Inam Ullah Khan, Muhammad Mansoor Alam, Mazliham Mohd Su ud, Keshav Kaushik
Format: Artigo
Langue:Inglês
Publié: PeerJ Inc. 2026-02-01
Collection:PeerJ Computer Science
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Accès en ligne:https://peerj.com/articles/cs-3500.pdf
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