A PRISMA-Derived Deterministic Scoring Framework for Intrusion Detection Dataset Evaluation
A deterministic, property-based scoring framework is introduced that converts dataset selection from an implicit habit into an explicit, evidence-driven methodological decision and establishes dataset evaluation as a step deserving the same rigor as algorithm design and experimental protocol specification.