Safeguarding IoT consumer devices: Deep learning with TinyML driven real-time anomaly detection for predictive maintenance

Internet of Things (IoT) security is paramount for enterprises, as it includes several strategies, techniques, actions, and protocols that aim to alleviate the high vulnerability of cutting-edge businesses. IoT consumer devices, from smart home appliances to wearable gadgets, have become ubiquitous...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Ain Shams Engineering Journal Jg. 16; H. 2; S. 103281
Hauptverfasser:	Katib, Iyad, Albassam, Emad, Sharaf, Sanaa A., Ragab, Mahmoud
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.02.2025 Elsevier
Schlagworte:	Anomaly detection Deep learning Feature selection Internet of things Jaya optimization algorithm TinyML Deep learning Internet of things Jaya optimization algorithm Feature selection TinyML Anomaly detection
ISSN:	2090-4479
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!