Development of machine learning algorithms for detecting attacks on vehicular communications ne[...]

Development of Machine Learning Algorithms for Detecting Attacks on Vehicular Communications Networks

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:

Automotive, Cybersecurity.

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.

Location: Naples