MACHINE LEARNING VOLTAGE FINGERPRINTING FOR GROUND TRUTH AND CONTROLLED MESSAGE ERROR FOR MESSAGE AND ECU MAPPING
Abstract:
Systems, apparatuses, and methods to establish ground truth for an intrusion detection system using machine learning models to identify an electronic control unit transmitting a message on a communication bus, such as an in-vehicle network bus, are provided. Voltage signatures for overlapping message identification (MID) numbers are collapsed and trained on a single ECU label.
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