Awarded with Distinction: Daniel Grimm Defends His Dissertation on Cybersecurity in Connected Vehicles

We warmly congratulate Daniel Grimm on the successful defense of his dissertation. The dissertation was awarded the highest grade of 1.0 with honors.

Daniel Grimm was a doctoral candidate in the research group led by Prof. Dr.-Ing. Eric Sax. His research interests lie particularly in the divisions of cybersecurity for vehicles, machine learning, and automotive software architectures.

In his dissertation, Daniel Grimm demonstrates that cybersecurity for connected vehicles does not end with market launch. His approach combines risk-based monitoring, a knowledge graph in the Vehicle Security Operations Center, and over-the-air response mechanisms to form a foundation for cybersecurity throughout the entire vehicle lifecycle. The knowledge graph links vehicle data with operational context, known risks, and incidents, enabling analysts to quickly assess the threat situation. Over-the-air mechanisms for the immediate containment of security-critical threats complement the holistic monitoring in a targeted manner. The risk analysis and technical implementation of a case study based on ISO/SAE 21434 demonstrate the feasibility of this approach and highlight its potential for the cybersecurity of future vehicles.

We congratulate Daniel Grimm on this outstanding achievement and wish him all the best and continued success in his future professional and personal endeavors.