Unveiling the IoT's dark corners: anomaly detection enhanced by ensemble modelling

The growing Internet of Things (IoT) landscape requires robust security; traditional rule-based systems are insufficient, driving the integration of machine learning (ML) for effective intrusion detection. This paper provides an inclusive overview of research efforts focused on harnessing ML methodo...

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Veröffentlicht in:	Automatika Jg. 65; H. 2; S. 584 - 596
Hauptverfasser:	Jose, Jisha, Judith, J. E.
Format:	Journal Article Paper
Sprache:	Englisch
Veröffentlicht:	Ljubljana Taylor & Francis Ltd 02.04.2024 KoREMA - Hrvatsko društvo za komunikacije,računarstvo, elektroniku, mjerenja i automatiku Taylor & Francis Group
Schlagworte:	Algorithms Anomalies Cybersecurity Decision trees Feature extraction Harris-Hawks optimizer Internet of Things Intrusion detection systems logistic regression Machine learning Naïve Bayes classifier Optimization algorithms Particle swarm optimization particle swarm optimizer Support vector machines System effectiveness Whale-Pearson optimization algorithm
ISSN:	0005-1144, 1848-3380
Online-Zugang:	Volltext
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