X-THREAT framework for adaptive and explainable deep learning-based minority-class and zero-day cyber threat detection

The dynamic nature of cyber threats—particularly minority-class and zero-day attacks—poses significant challenges to existing intrusion detection systems (IDS), which often lack adaptability, interpretability, and robustness. This paper presents X-THREAT, an adaptive and explainable deep learning fr