AI Transparency in Network Intrusion Detection
Machine-learning intrusion detectors often report near-perfect performance on familiar benchmarks, yet their generalization and decision transparency remain uncertain. This study evaluates a reproducible and explainable binary network-intrusion-detection workflow using the NSL-KDD KDDTrain+_20Percent file (25,192 recor...