Explainable and Deployment-Aware Zero-Day Intrusion Detection for Cloud-Level Backend and Management Ecosystems in EV/V2X Cyber–Physical Systems
A hybrid multi-layered intrusion detection framework combining traditional machine learning, Deep Neural Architectures (DenseNN), and ensemble methods to evaluate zero-day resilience within cloud-level backend connectivity interfacing EV and V2X management ecosystems is proposed.