Master Thesis: Intrusion detection for automotive security
AVL List GmbH, Graz
Cyber security is a challenge for connected and autonomous vehicles. Securing a vehicle requires layers of protection as well as the capability to detect past and ongoing cyber attacks. This master thesis aims at developing intrusion detection algorithms and applications that are suitable for detecting cyber attacks in automotive systems, within the framework of a European research project.
- Research and compare existing automotive intrusion detection approaches from academic research and industry solutions
- Develop machine learning algorithms for pattern recognition and anomaly detection of on-board communications
- Design and develop software prototype and demonstrator
- Informatik/Computer science
- Knowledge and experiences in information security, network security, and intrusion detection
- Knowledge in artificial intelligence and machine learning as well as data analytics
- Strong analytical and problem solving skill
- Strong programming skills in Python and C
- Knowledge in automotive CAN communication a plus
Remuneration: The successful completion of the thesis is remunerated with a one-time fee of EUR 2,500 before tax.
According to the Austrian Employment of Foreign Nationals Act it is unfortunately not possible to assign graduate work to third-country citizens (Non-EU citizens) and Croatian citizens who study at a university abroad.