BHM-IDS: Behavior-Driven Hierarchy and Multi-Dataset Training for Cross-Dataset Generalization
BHM-IDS is a three-stage hierarchical intrusion detection framework that combines behavior-driven hierarchy with multi-dataset training to improve cross-dataset generalization in IDSs and demonstrates promising and competitive performance compared with simpler frameworks and existing state-of-the-art approaches.