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M.Sc. Stefan Machmeier

Phone: +49 6221 54 14537 
Room: 1/411


Office address/Post address

Engineering Mathematics and Computing Lab (EMCL) 
Interdisciplinary Center for Scientific Computing (IWR) 
Im Neuenheimer Feld 205 
69120 Heidelberg (Germany)

Short Biography

I studied applied computer science at the DHBW Stuttgart Campus Horb (2015-2018) and the University Heidelberg (2020-2022). During my masters, I focused on cybersecurity with a master's thesis on "Honeypot Implementation in a Cloud environment". Additionally, I worked as a research assistent at bwInfoSec, where I have been a permanent team member since April 2022.

Research Interests

  • Cybersecurity
  • Explainability
  • Machine Learning


At University Heidelberg

If you are interested in IT security as part of an internship or thesis, you can contact me here:


Supervisor of BA theses:

  • Using Deep Packet Inspection to Analyse and Reduce DDoS Attacks on Servers and Applications
  • Functionality and limitation of DPI circumvention software
  • Analysing schemes for secure and memorable password generation
  • Flow-based Traffic Classification Using Deep Vision
  • Analyzing the BrakTooth family of experimental attacks on specific Bluetooth chipsets
  • Vulnerabilities in Medical Data Transfer based on Blockchain Technologies

Supervisor of MA theses:

  • Adding Interpretability to an Anomaly-Based Method for Deep Packet Inspection in Intrusion Detection Systems
  • Implementing an exploit as a Metasploit module and investigating the exploit ranking mechanism
  • Schutz-Prinzipien für Softwarearchitekturen mit erhöhtem Schutzbedarf

Lectures and Seminars

  • Assistant at the IT-Security Lecture 1
  • Assistant at the IT-Security Lecture 2
  • Assistant at the IT-Security Seminar


  • P. Memmesheimer, S. Machmeier, V. Heuveline, “Increasing Detection Rate for Imbalanced Malicious Traffic using Generative Adversarial Networks”, In Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference (EICC '24).
  • M. Schroeder, S. Machmeier, S, Maeng, V. Heuveline, "Validating CESU-8 Encoded Text Utilising SIMD Instructions", In Proceedings of the 2024 13th International Conference on Software and Computer Applications (ICSCA '24).
  • S. Machmeier, M. Hoecker, V. Heuveline, "Explainable Artificial Intelligence for Improving a Session-Based Malware Traffic Classification with Deep Learning", in 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico-City, Mexico, 2023.
  • S. Machmeier, M. Trageser, M. Buchwald, and V. Heuveline, "A generalizable approach for network flow image representation for deep learning", in 2023 7th Cyber Security in Networking Conference (CSNet), Montréal, Canada, 2023.
  • M. Schroeder, S. Machmeier, V. Heuveline (2023). Vtable hijacking: Object Type Integrity for run-time type information. Preprint Series of the EMCL.
  • S. Machmeier (2023). Honeypot Implementation in a Cloud Environment. arXiv preprint arXiv:2301.00710.