3 papers
cs.CR2026
Multi-Level Distributional Entropy for Explainable Network Intrusion Detection
Mohamed Aly Bouke, Md Shohel Sayeed, Swee-Huay Heng +2
Machine learning network intrusion detection systems (IDS) rely on aggregate flow statistics that discard distributional structure, while established entropy measures require raw p…
cs.IR2025
Data Dams: A Novel Framework for Regulating and Managing Data Flow in Large-Scale Systems
Mohamed Aly Bouke, Azizol Abdullah, Korhan Cengiz +4
In the era of big data, managing dynamic data flows efficiently is crucial as traditional storage models struggle with real-time regulation and risk overflow. This paper introduces…
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…