Christian Dietz

Christian Dietz, M.Sc.

Position: Research Assistant
Office: S4|14 room 4.3.07
Email: christian.dietz – at-
Telephone: +49 6151 16 70471


Research interests:
Internet security in general
Anomaly detection (especially botnet detection)
Machine learning and data mining


Open job offerings:
Unterstützung bei Softwareentwicklung für Netzwerkanalyse


Open Thesis:

  • Identification of mobile handsets based on NetFlow data, Master’s thesis
  • Framework for autonomous retrieval of network communication characteristics of benign network application clients, Bachelor’s or Master’s Thesis
  • Development of a secure environment for automatic retrieval of (statistical) network behavior profiles of malware samples, Bachelor’s or Master’s Thesis
  • Inferring command and control (C&C) protocol of botnets based on Bot binary samples, Bachelor’s or Master’s Thesis
  • Inferring classification models for identification of connections belonging to specific websites based on NetFlow data,  Bachelor’s or Master’s Thesis
  • Entropy-based anomaly detection in (server-) logfiles, Bachelor’s thesis, (together with: Sebastian Abt)
  • Development of security metrics and visualization of flow-based event information, Bachelor’s Thesis, (together with: Jessica Steinberger)