Mutual Information-Driven Feature Selection for Efficient DDoS Detection Using Modern Boosting Ensembles

Distributed Denial of Service (DDoS) attacks generate high-dimensional network traffic that poses significant challenges for machine learning-based detection systems in terms of predictive accuracy and computational efficiency. This study presents a systematic evaluation of Mutual Information (MI) b...

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Bibliographic Details

Main Authors:	Muhammad Febrian Fansuri, Kusrini Kusrini
Format:	Artigo
Language:	Inglês
Published:	Universitas Hamzanwadi 2026-04-01
Series:	Edumatic
Subjects:	ddos detection ensemble boosting feature selection machine learning mutual information
Online Access:	https://e-journal.hamzanwadi.ac.id/index.php/edumatic/article/view/34012
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