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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Automatika Ročník 65; číslo 2; s. 584 - 596
Hlavní autori:	Jose, Jisha, Judith, J. E.
Médium:	Journal Article Paper
Jazyk:	English
Vydavateľské údaje:	Ljubljana Taylor & Francis Ltd 02.04.2024 KoREMA - Hrvatsko društvo za komunikacije,računarstvo, elektroniku, mjerenja i automatiku Taylor & Francis Group
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!