Weighted chi-squared and LightGBM-based bagging for enhanced intrusion detection in edge IoMT networks

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Information and Computer Security
Published
2025-01-01
DOI
https://doi.org/10.1504/ijics.2025.10073704
Primary Topic
Advanced Data and IoT Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Weighted chi-squared and LightGBM-based bagging for enhanced intrusion detection in edge IoMT networks

Abdelkarim Ait Temghart, Marwan Mbarek, Mohamed Baslam, Hmad Zennou
International Journal of Information and Computer Security
Advanced Data and IoT Technologies
article

Weighted chi-squared and LightGBM-based bagging for enhanced intrusion detection in edge IoMT networks

Abdelkarim Ait Temghart, Marwan Mbarek, Mohamed Baslam, Hmad Zennou
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Information and Computer SecurityVol. 1(1)
Openalex Percentile: Top 74%
Advanced Data and IoT Technologies
DOISourceOpenAlex
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Weighted chi-squared and LightGBM-based bagging for enhanced intrusion detection in edge IoMT networks — Abdelkarim Ait Temghart, Marwan Mbarek, et al. · International Journal of Information and Computer Security (2025) | TGRS Research Map | TGRS