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 J-18808-Ljbffr

Location: provincia-di-napoli, IT

Posted Date: 4/7/2025