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cs.CR2026
Multi-Level Distributional Entropy from Flow Summary Statistics for Explainable Network Intrusion Detection
Mohamed Aly Bouke, Md Shohel Sayeed, Swee-Huay Heng +2
Machine learning network intrusion detection systems (IDS) operate on aggregate flow statistics that discard the distributional structure of traffic, and although information-theor…
cs.CR2025
Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection
Mohamed Aly Bouke, Omar Imhemmed Alramli, Azizol Abdullah +4
Random number generation plays a vital role in cryptographic systems and computational applications, where uniformity, unpredictability, and robustness are essential. This paper pr…