Azizol Abdullah

Multi-Level Distributional Entropy for Explainable Network Intrusion Detection

Mohamed Aly Bouke, Md Shohel Sayeed, Swee-Huay Heng, Azizol Abdullah, Mohamed Othman

Machine learning network intrusion detection systems (IDS) rely on aggregate flow statistics that discard distributional structure, while established entropy measures require raw packet sequences unavailable in pre-aggregated flow datasets. We propose Multi-Level Distributional E…Read more