D. P.

Explainable Machine Learning for Suspicious Network Traffic Detection Using the UNSW-NB15 Dataset

Machine-learning-based intrusion detection can identify suspicious network traffic with high predictive performance, but security analysts also need to understand why a traffic record is classified as an attack. This paper presents an explainable machine-learning framework for binary suspicious-traffic detection using...