A swarm anomaly detection model for IoT UAVs based on a multi-modal denoising autoencoder and federated learning

•A loss function called NMSE was designed to fit the difference between clean and noisy UAV Intrusion Traffic/fault data.•A multimodal denoising autoencoder has been designed to achieve multi-source heterogeneous sensor noise removal.•An anomaly detection model for UAV swarms based on federated lear...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computers & industrial engineering Jg. 196; S. 110454
Hauptverfasser:	Lu, Yu, Yang, Tao, Zhao, Chong, Chen, Wen, Zeng, Rong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2024
Schlagworte:	Denoising autoencoder Federated learning Intrusion detection UAV swarm Denoising autoencoder Federated learning UAV swarm Intrusion detection
ISSN:	0360-8352
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!