Open access
Aug 2026
A Correlation-Based Feature Selection and Weighted XGBoost Framework for Minority IoT Attack Detection
This study proposes a Correlation-Based Feature Selection (CFS)–Weighted XGBoost framework that combines redundancy-aware feature selection with an embedded class-weighted learning classifier to improve minority-attack detection.
M. Alnagdawi, Tariq Bishtawi, Ayman Ghaben
· Journal of Intelligent Decis... · 0 citations