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Şevval Şolpan

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Open access Aug 2026

Enhancing IoT Attack Detection Through SMOTE-Based Class Balancing: A Comparative Analysis of Machine Learning Algorithms

Imbalanced class distributions in Internet of Things (IoT) attack datasets limit the ability of machine learning (ML) models to detect minority intrusions and lead to high false-negative rates. This study investigates the effectiveness of the Synthetic Minority Oversampling Technique (SMOTE) in improving multi-class at...

Ela Kalifati, K. Küçük, Şevval Şolpan et al. · 0 citations

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