Intrusion Detection Model for Industrial Internet of Things Based on Improved Autoencoder

With the gradual advancement of informatization and industrialization, the safety and controllability of industrial Internet of things (IoT) have attracted more and more attention. Aiming to improve the security of industrial IoT, a detection method using stacked sparse autoencoder network model is...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computational intelligence and neuroscience Jg. 2022; S. 1 - 8
Hauptverfasser:	Zhang, Wumei, Zhang, Yongzhen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Hindawi 27.05.2022 John Wiley & Sons, Inc
Schlagworte:	Accuracy Algorithms Back propagation Communications traffic Deep learning Industrial applications Industrial Internet of Things Internet of Things Intrusion detection systems Neural networks Optimization Research Design Sparsity Iran
ISSN:	1687-5265, 1687-5273, 1687-5273
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!