A Lightweight Anomaly Traffic Detection Approach for UAV Swarms Based on Spatiotemporal Feature Interaction

Existing anomaly detection methods for Unmanned Aerial Vehicle (UAV) networks often suffer from the underutilization of dynamic spatial topology, insufficient extraction of temporal correlation features, and high computational overhead that hinders edge deployment. To address these challenges, this...

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Detalhes bibliográficos

Principais autores:	Chunhao Tang, Yueshun He, Linlin He, Jie Chen, Yuankun Yang, Wei Lv
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Access
Assuntos:	Anomaly traffic detection gated recurrent unit (GRU) graph attention network spatiotemporal features UAV network
Acesso em linha:	https://ieeexplore.ieee.org/document/11361004/
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