Zero-day cyberattacks remain difficult to detect because their behavioral characteristics are not represented in the data available during model training. In addition, intrusion detection models operating in dynamic environments are vulnerable to concept drift, while continual-learning approaches may suffer from catast...
Abdalilah Alhalangy, Galal Eldin Abbas Eltayeb· Information· 0 citations
Future sixth-generation (6G) Internet of Things (IoT) environments require scalable authentication for large populations of constrained devices while remaining resilient to quantum-capable adversaries. Quantum key distribution (QKD) can provide high-assurance key material between suitable infrastructure nodes, but dire...
Eman Abouelkheir, Abdalilah Alhalangy· Applied Sciences· 0 citations
A traceable bias-auditing framework that amalgamates prediction, explanation, selective human review, and structured recording into a cohesive operational decision pathway is presented and indicates that explanations attain institutional significance solely when linked to procedural regulations and enduring records.
A prototype framework for an effective LLM API designed to mimic digital banking assistant responses and evaluate against synthesized and real-world banking dialogues is introduced and how the results dovetail with the growing regulatory landscape for AI in financial services is explored.
G. el-Tayeb, Abdalilah Alhalangy· The Scholar Journal for Scie...· 0 citations
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