Thomas Rosenstatter

Thomas Rosenstatter is a Senior Lecturer and researcher at the Salzburg University of Applied Sciences (FH Salzburg/SUAS), where he works in the Department Information Technologies and Digitalisation at Campus Urstein. Prior to this position, he was a researcher at the Digital Systems division at RISE Research Institutes of Sweden from November 2021 to April 2023. He completed his Ph.D. in computer science and engineering at Chalmers University in Gothenburg, Sweden between 2016 and 2021.

His educational background includes:

• Ph.D. in Networks and Systems, Computer Science and Engineering, Chalmers University, Sweden (2016-2021)
• M.Sc. in Embedded and Intelligent Systems, Halmstad University, Sweden (2016)
• Diplom-Ingenieur (DI) in Information Technology & Systems Management, Salzburg University of Applied Sciences, Austria (2016)
• B.Sc. in Information Technology & Systems Management, Salzburg University of Applied Sciences, Austria (2014)

Research Focus: Dr. Rosenstatter's research centers on cybersecurity and resilience for cyber-physical systems, with particular emphasis on automotive systems and industrial automation. His work addresses critical questions in automotive cybersecurity, including how to express security demands and requirements when designing connected vehicles, how to identify suitable security and resilience techniques, and how to develop frameworks for anomaly detection. He has made significant contributions to vehicular security through mechanisms like improving freshness mechanisms for authenticated messages, developing trust-based solutions in VANETs, and designing frameworks for anomaly detection using peer-assessments of vehicles.

Publication Trends: His publications demonstrate a consistent focus on automotive security challenges, with recent work expanding into industrial automation security. His research shows progression from foundational work on security frameworks and requirements to more applied research on specific security mechanisms and frameworks for attack detection and response. The trend in his publications indicates growing interest in collaborative security approaches and practical implementations of security solutions for real-world automotive and industrial systems.

Awards:

• SAIS Best AI Master's Thesis Award 2017 for research on "Modelling the Level of Trust in a Cooperative Automated Vehicle Control System"

Dr. Rosenstatter has extensive teaching experience in network security, computer security, routing and switching technology, and advanced topics in networking, privacy, and security. He is actively involved in the Josef Ressel Centre for Intelligent and Secure Industrial Automation (JRZ ISIA) at Salzburg University of Applied Sciences.