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...

Full description

Bibliographic Details

Published in:	Computers & industrial engineering Vol. 196; p. 110454
Main Authors:	Lu, Yu, Yang, Tao, Zhao, Chong, Chen, Wen, Zeng, Rong
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.10.2024
Subjects:	Denoising autoencoder Federated learning Intrusion detection UAV swarm Denoising autoencoder Federated learning UAV swarm Intrusion detection
ISSN:	0360-8352
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!