Raphael was a researcher in the Malware, Cybercrime and Threat Intelligence Research Group at the Institute for Internet Security of the Westphalian University of Applied Sciences. His research interests include cyber threat intelligence, the use of machine learning techniques in the field of computer security, and reverse engineering.
He was working in the CySIRK project and developed, analyzed, and evaluated machine learning techniques that assist cybersecurity analysts working in Security Operation Centers (SOCs).
Raphael contributed to the following scientific publications:
- Springer, R.; Schmitz, A.; Leinweber, A.; Urban, T.; Dietrich, C. Padding Matters – Exploring Function Detection in PE Files: Data/Toolset paper. 15th ACM Conference on Data and Application Security and Privacy (CODASPY ’25), June 2025.
- Beierlieb, L.; Schmitz, A.; Springer, R.; Dietrich, C.; Iffländer, L. Benchmarking Hyper-Breakpoints for Efficient Virtual Machine Introspection. Electronics 2025, 14, 534. PDF download. Published: 28 January 2025.
Interests
- Cyber Threat Intelligence
- Machine Learning in Computer Security
- Reverse Engineering
Education
MSc in Internet Security, 2022
Westphalian University of Applied Sciences
BSc in Media Informatics, 2019
Westphalian University of Applied Sciences