Summary

Developing machine learning-based intrusion detection systems for vehicle networks including CAN and Automotive Ethernet. The project focuses on data quality evaluation following ISO/IEC standards for training, testing, and validation of anomaly detection systems. Addresses challenges in automotive cybersecurity standardization.