Cường Phạm Việt

A hybrid structural-contextual framework for malicious URL detection based on graph attention networks and knowledge distillation

This paper proposes a structural-semantic integration framework leveraging Graph Attention Networks and Knowledge Distillation for robust multi-layer malicious URL detection, conceptualize raw URLs as character-level directed graphs to extract intricate structural patterns.