S. Manickam

An Explainable Multi-Criteria Decision-Making Framework for Evaluating Malware Detection Models Across Heterogeneous Datasets

The diversity of today’s malware and the conflicting criteria for predictive performance, computational efficiency, dependability, and interpretability have made the choice of a suitable malware detection model more complicated. Existing research focuses predominantly on predictive performance, while the multidimension...