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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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2026-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11361004/ |
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