Kamal Kamal

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.