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Review Open access Aug 2026

A Machine Learning-Based Intrusion Detection Framework for Enhanced Network Security

This review presents a comprehensive analysis of machine learning-based intrusion detection systems, covering a wide range of techniques including supervised learning, unsupervised learning, ensemble learning, and deep learning models, and discusses critical challenges affecting the deployment of ML-based IDS.

Ranobir Hasan, H. Jamal, Kamal Kamal et al. · 0 citations