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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Vydané v:	Ain Shams Engineering Journal Ročník 16; číslo 2; s. 103281
Hlavní autori:	Katib, Iyad, Albassam, Emad, Sharaf, Sanaa A., Ragab, Mahmoud
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.02.2025 Elsevier
Predmet:	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
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