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Cyber Threat Hunting Detection via Data Science and Engineering


Nowadays, it becomes usual that more and more organizations collect and store log data generated from the IT infrastructure across the entire corporate network. The challenges have been turned into how the large amount of data can be efficiently analyzed in terms of deriving meaningful values and insights. Within this master project, students are expected to work with the data collected from two real world cases and contribute with advanced analytical approaches helping take full advantage of the data and enhancing the security of enterprise network.


The deliverables of this project include:

  • Advanced big data analytical approaches and threat detection/hunting approaches implemented, tested and documented
  • Intermediate and final presentations demos
  • Technical Report and ideally Scientific paper


Project Management

  • Project period: SS2019 (April - September 2019)
  • Project Team:
    • Supervisors: Pejman Najafi, Dr. Feng Cheng, Prof. Dr. Christoph Meinel
    • Students:
      • Strassenburg, Nils
      • Kroschewski, Johannes
      • Neuber, Leana
      • Jattke, Patrick
      • Marschke, Leonard