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...

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Bibliographic Details

Published in:	Ain Shams Engineering Journal Vol. 16; no. 2; p. 103281
Main Authors:	Katib, Iyad, Albassam, Emad, Sharaf, Sanaa A., Ragab, Mahmoud
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.02.2025 Elsevier
Subjects:	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 Access:	Get full text
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