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Dipl.-Ing. Sebastian Eresheim BSc

  • Junior Researcher
    Josef Ressel Center for Blockchain-Technologies and Security management
  • Department of Computer Science and Security
Location: B - Campus-Platz 1

Study programmes

  • Data Intelligence (MA)
  • Data Science and Business Analytics (BA)

Departments

  • Computer Science and Security

Projects

Selected Publications

Publications

Luh, R., Eresheim, S., Größbacher, S., Petelin, T., Mayr, F., Tavolato, P., & Schrittwieser, S. (2022). PenQuest Reloaded: A Digital Cyber Defense Game for Technical Education. 2022 IEEE Global Engineering Education Conference (EDUCON), 906–914. https://doi.org/10.1109/EDUCON52537.2022.9766700
Eresheim, S., Tavolato, Paul, & Luh, Robert. (2022). Formalizing Real World Threat Scenarios. Proceedings of the 8th International Conference on Information Systems Security and Privacy - ICISSP, 281–289. http://eprints.cs.univie.ac.at/7310/
Eresheim, S., Luh, Robert, Größbacher, S., Petelin, T., Mayr, F., Tavolato, Paul, & Schrittwieser, S. (2022, 31-03). PenQuest Revisited: A Digital Cyber Defense Game for Technical Education. 2022 IEEE Global Engineering Education Conference (EDUCON). 13th IEEE Global Engineering Education Conference Conference, Tunis. https://doi.org/10.1109/EDUCON52537.2022.9766700
Eresheim, S., & Pasterk, D. (2021). Self-propagating Malware Containment via Reinforcement Learning. International Cross-Domain Conference for Machine Learning and Knowledge Extraction, 35–50. https://doi.org/10/gpgzsf
Eigner, O., Eresheim, S., Kieseberg, P., Klausner, L. D., Pirker, M., Priebe, T., Tjoa, S., Marulli, F., Mercaldo, F., & Priebe, T. (2021). Towards Resilient Artificial Intelligence: Survey and Research Issues. Proceedings of the 2021 IEEE International Conference on Cyber Security and Resilience, 536–542. https://doi.org/10.1109/CSR51186.2021.9527986
Eresheim, S. (2020). Cybersecurity Containment Agent. Machine Learning Prague 2020.
Eresheim, S. (2020). Reinforcement Learning for Incident Protection in IT. First Conference on Mathematics of Data Science (MDS20).
Eresheim, S., Klausner, L. D., & Kochberger, P. (2019). Anomaly Detection Support Using Process Classification. Proceedings of the 5th International Conference on Software Security and Assurance, 27–40. https://doi.org/10/gnt2wn
Eresheim, S. (2019, February 12). Process Behaviour Classification. 2019 CES+ Global Camp at Austria & Moldova for Sharing the PBL (Project Based Learning) Know-how, FH St. Pölten.
Luh, R., & Eresheim, S. (2018, January 30). Google Hacking. Security Day, FH St. Pölten.
Eresheim, S. (2018). Process Behaviour Classification. IKT Sicherheitskonferenz des BMLVS, Young Researcher"s Day, Villach.
Eresheim, S., Luh, R., & Schrittwieser, S. (2017). The Evolution of Process Hiding Techniques in Malware – Current Threats and Possible Countermeasures. Journal of Information Processing. https://doi.org/10/gh3722