Explainable Machine Learning for Suspicious Network Traffic Detection Using the UNSW-NB15 Dataset
The SHAP analysis identifies the transformed network attributes that contribute most strongly to attack predictions and illustrates how individual records can be explained, which adds an interpretability layer to conventional network-traffic classification and can support analystoriented investigation of suspicious eve...