Smart deep learning model for enhanced IoT intrusion detection

Growing volumes and sensitivities of information in the growing IoT require strong cybersecurity measures to adequately counter increasingly sophisticated cyberattacks. Machine learning-based anomaly detection has the potential to be a viable solution through abnormal network traffic behavior identi...

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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 20577 - 23
Main Author:	Alsubaei, Faisal S.
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01.07.2025 Nature Portfolio
Subjects:	639/166 639/705 692/1807 Cyber security Humanities and Social Sciences Internet of things (IoT) Intrusion detection Intrusion detection systems (IDS) multidisciplinary Optimized sequential neural network Optimized XGBoost Science Science (multidisciplinary) Intrusion detection systems (IDS) Optimized sequential neural network Optimized XGBoost Cyber security Intrusion detection Internet of things (IoT)
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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