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...

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Vydané v:	Computers & industrial engineering Ročník 196; s. 110454
Hlavní autori:	Lu, Yu, Yang, Tao, Zhao, Chong, Chen, Wen, Zeng, Rong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.10.2024
Predmet:	Denoising autoencoder Federated learning Intrusion detection UAV swarm Denoising autoencoder Federated learning UAV swarm Intrusion detection
ISSN:	0360-8352
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