- Identify security relevant log sources inside a modern vehicle
- Define a logging concept including the characteristics of a modern vehicle architecture
- Analyze the potential of different anomaly detection approaches (machine learning / AI versus pattern based) considering the potential limitations of embedded systems with regards to computing power and memory
- Define a concept for distributed anomaly detection architectures in combination with backend / cloud infrastructures
- Proof-of-concept implementation and demonstration
Fields of study
- Informatics/Computer Science
- IT/Information Security
- Knowledge in automotive security a plus
- Experiences in embedded systems, Log Management, SIEM
- Strong analytical and problem solving skills
- Strong programming skill in Python, C
Remuneration: The successful completion of the thesis is remunerated with a one-time fee of EUR 2,600 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) who study at a university abroad.
Lead Engineer Cyber Security / DSF
Tel.: +43 664 6109826