Machine Learning-Based Intrusion Detection Systems for Automotive In-Vehicle Networks
This survey provides a comprehensive comparative analysis of IDS approaches based on ML, Deep Learning (DL), and Federated Learning (FL), and analyzed these methods not only by detection performance but also according to crucial operational metrics, such as system complexity and applicability in NRT scenarios.