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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Bibliografische Detailangaben

Hauptverfasser:	Chunhao Tang, Yueshun He, Linlin He, Jie Chen, Yuankun Yang, Wei Lv
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2026-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Anomaly traffic detection gated recurrent unit (GRU) graph attention network spatiotemporal features UAV network
Online-Zugang:	https://ieeexplore.ieee.org/document/11361004/
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