Moritz Gstür, M.Sc.

  • Hermann-von-Helmholtz-Platz 1
    76344 Eggenstein-Leopoldshafen

About Me

I'm working as a researcher at the KIT in the field of cybersecurity and cryptography since 2025. During my computer science studies at the KIT, I did research on novel mechanisms for the composition and refinement of knowledge provided by reverse engineering of IT systems.

My recent research is focused on securing critical infrastructure, such as smart electricity grids, against cyberattacks. I'm especially interested in designing, implementing, and evaluating novel access control approaches for time-critical and resource-constrained systems. Thus, my current projects are primarily concerned with the employment of attribute-based access control (ABAC) in systems with real-time constraints.

If you are interested in my research or have any further questions, please feel free to reach out to me!

Research Interests

  • Attribute-Based Access Control (ABAC)
  • IEC 61850 Security
  • Security under Time- & Resource-Constraints
  • Protocol Engineering & Protocol Security

Contact Me

Publications


2025
Retriever: A View-Based Approach to Reverse Engineering Software Architecture Models
Kirschner, Y. R.; Gstür, M.; Sağlam, T.; Weber, S.; Koziolek, A.
2025. Journal of Systems and Software, 220, 112277. doi:10.1016/j.jss.2024.112277
2024
View-Based-Reverse-Engineering/Retriever: v5.2.0.202410181425
Kirschner, Y. R.; Bossert, F.; Gstür, M.; Peter, N.; Stahl, M.; Koziolek, A.
2024, October 18. doi:10.5281/zenodo.13951797
MoCoRe - A Generic Model-Driven Composition and Rule-Based Refinement Framework
Gstür, M.; Kirschner, Y. R.; Singh, S.; Koziolek, A.
2024. 2024 IEEE 21st International Conference on Software Architecture Companion (ICSA-C), Hyderabad, 4th - 8th June 2024, 273 – 280, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSA-C63560.2024.00039
Retriever: A View-Based Approach to Reverse Engineering Software Architecture Models
Kirschner, Y. R.; Gstür, M.; Sağlam, T.; Weber, S.; Koziolek, A.
2024. Elsevier B.V. doi:10.2139/ssrn.4686183