Explainable and Scalable Deep Learning Framework for Zero-Day Cyber Attack Detection in High-Dimensional Network Traffic
The rapid evolution of network-based cyber threats particularly zero-day attacks presents fundamental challenges to intrusion detection systems (IDS). Existing deep learning approaches frequently sacrifice explainability and scalability, two properties essential for operational deployment. This paper presents EXSCAD (E...