UAV Cybersecurity with Mamba-KAN-Liquid Hybrid Model: Deep Learning-Based Real-Time Anomaly Detection

Unmanned Aerial Vehicles (UAVs) are increasingly being used in critical infrastructure, defense, and civilian applications, and face new cybersecurity threats. In this work, we present a novel hybrid deep learning architecture that combines Mamba, Kolmogorov-Arnold Networks (KAN), and Liquid Neural...

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Autor principal:	Özlem Batur Dinler
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-11-01
coleção:	Drones
Assuntos:	UAV security cyber-attack detection Mamba architecture Kolmogorov-Arnold networks Liquid neural networks anomaly detection
Acesso em linha:	https://www.mdpi.com/2504-446X/9/11/806
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