Generalizable Multi-Model Fusion for Multi-Class DoS Detection Using Cognitive Diversity and Rank-Score Analysis

This article proposes adopting a cutting-edge approach called Combinatorial Fusion Analysis (CFA), which leverages a recently developed framework to combine multiple ML models for improved DoS attack detection, and highlights the potential of this approach for enhancing DoS attack detection capabilities and contributing to the development of more robust defense mechanisms.