FedWGCA: A Federated Learning Based AAV Intrusion Detection With Gradient Clipping and Attention-Based Neural Networks

Autonomous Aerial Vehicles (AAVs) are progressively employed in various applications, including surveillance and logistics. However, their rising usage is coupled by increased cybersecurity threats. Conventional intrusion detection systems (IDS) frequently inadequately address specific problems pres...

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Bibliografische Detailangaben

Hauptverfasser:	Md. Fahim-Ul-Islam, Amitabha Chakrabarty, Halimaton Saadiah Hakimi, Siti Sarah Maidin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2025-01-01
Schriftenreihe:	IEEE Open Journal of the Computer Society
Schlagworte:	Attention neural network cybersecurity threats intrusion detection systems (IDS) federated learning (FL) R&D investment autonomous aerial vehicles (AAVs)
Online-Zugang:	https://ieeexplore.ieee.org/document/11199391/
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