"Top-K Feature Selection for IoT Intrusion Detection: Contributions of ..."

Brou Médard Kouassi et al. (2025)

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DOI: 10.3390/FI17110529

access: open

type: Journal Article

metadata version: 2026-02-01

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Brou Médard Kouassi, Abou Bakary Ballo, Kacoutchy Jean Ayikpa, Diarra Mamadou, Minfonga Zié Jérôme Coulibaly:
Top-K Feature Selection for IoT Intrusion Detection: Contributions of XGBoost, LightGBM, and Random Forest. Future Internet 17(11): 529 (2025)

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