This thesis focuses on the development of machine learning algorithms for the detection of cyber-attacks on on-board car systems. The aim is to quickly identify any anomalies or suspicious behavior to prevent attacks and protect the vehicle and its occupants.
Internship main topic:
Candidate requirements/Course of study:
A team of highly motivated students with a good background in cybersecurity topics and machine learning. Knowledge of Matlab/Simulink and basic programming skills are welcome.