Machine Learning and Deep Learning Models for Anomaly Intrusion Detection in Networks: A Systematic Review

This paper presents a comprehensive review and critical analysis of 165 peer-reviewed research articles, comprising 92 studies focused on ML-based NAD techniques and 73 on DL-based approaches, and concludes with the need and importance of DL techniques.