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Machine Learning Driven Intrusion Detection for Internet of Things Networks: A Comparative Study of Ensemble and Traditional Models

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Published in:LAUTECH Journal of Computing and Informatics (LAUJCI)
Format: Online Article RSS Article
Published: 2026
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container_title LAUTECH Journal of Computing and Informatics (LAUJCI)
description
discipline_display Computer Science-Nigeria
discipline_facet Computer Science-Nigeria
format Online Article
RSS Article
genre Journal Article
id rss_article:77800
institution FRELIP
journal_source_facet LAUTECH Journal of Computing and Informatics (LAUJCI)
last_indexed 2026-06-20T21:39:49.249Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Machine Learning Driven Intrusion Detection for Internet of Things Networks: A Comparative Study of Ensemble and Traditional Models
Computer Science-Nigeria
General
Computer Science-Nigeria
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science-Nigeria
General
Computer Science-Nigeria
subject_facet Computer Science-Nigeria
General
Computer Science-Nigeria
title Machine Learning Driven Intrusion Detection for Internet of Things Networks: A Comparative Study of Ensemble and Traditional Models
title_alt Detección de intrusiones impulsada por aprendizaje automático para redes de Internet de las Cosas: un estudio comparativo de modelos ensemble y tradicionales
Détection d'intrusion pilotée par l'apprentissage automatique pour les réseaux de l'Internet des objets : une étude comparative des modèles ensemblistes et traditionnels
Detecção de Intrusão Orientada por Aprendizado de Máquina para Redes de Internet das Coisas: Um Estudo Comparativo de Modelos Ensemble e Tradicionais
title_auth Machine Learning Driven Intrusion Detection for Internet of Things Networks: A Comparative Study of Ensemble and Traditional Models
title_es_txt Detección de intrusiones impulsada por aprendizaje automático para redes de Internet de las Cosas: un estudio comparativo de modelos ensemble y tradicionales
title_fr_txt Détection d'intrusion pilotée par l'apprentissage automatique pour les réseaux de l'Internet des objets : une étude comparative des modèles ensemblistes et traditionnels
title_full Machine Learning Driven Intrusion Detection for Internet of Things Networks: A Comparative Study of Ensemble and Traditional Models
title_fullStr Machine Learning Driven Intrusion Detection for Internet of Things Networks: A Comparative Study of Ensemble and Traditional Models
title_full_unstemmed Machine Learning Driven Intrusion Detection for Internet of Things Networks: A Comparative Study of Ensemble and Traditional Models
title_pt_txt Detecção de Intrusão Orientada por Aprendizado de Máquina para Redes de Internet das Coisas: Um Estudo Comparativo de Modelos Ensemble e Tradicionais
title_short Machine Learning Driven Intrusion Detection for Internet of Things Networks: A Comparative Study of Ensemble and Traditional Models
title_sort machine learning driven intrusion detection for internet of things networks: a comparative study of ensemble and traditional models
topic Computer Science-Nigeria
General
Computer Science-Nigeria
url http://laujci.lautech.edu.ng/index.php/laujci/article/view/177