A Progressive Machine Learning Framework for Intrusion Prevention in Controller Area Networks: Multi-Scenario Evaluation for Secure Automotive Systems
Modern vehicles rely heavily on in-vehicle Controller Area Network (CAN) communication to coordinate safety-critical electronic control units (ECUs). However, the CAN protocol was not originally designed with authentication, encryption, or message integrity mechanisms, making it vulnerable to injection, spoofing, fuzzy...