Interpretable Detection of Evolving Network Intrusions: A Review of Explainable Machine Learning and Operational Gaps
In this review, the shift from traditional intrusion detection systems (IDSs) to machine-learning based network intrusion detection and explicit explainability is explored. The source material is assembled with recent literature and the field is structured around five recurring concerns: detection capability, data qual...