Institute of
IT Security Research

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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
P: +43/2742/313 228 363

Study programmes

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

Departments

  • Computer Science and Security

Selected Publications

Projects

Publications

Download Bibtex for all results
Eresheim, S., Kovac, F., & Adrowitzer, A. (2023). Standing Still Is Not an Option: Alternative Baselines for Attainable Utility Preservation. In A. Holzinger, P. Kieseberg, F. Cabitza, A. Campagner, A. M. Tjoa, & E. Weippl (Eds.), Machine Learning and Knowledge Extraction (Vol. 14065, pp. 239–257). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40837-3_15
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. (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.
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. (2018). Process Behaviour Classification. IKT Sicherheitskonferenz des BMLVS, Young Researcher"s Day, Villach.
Luh, R., & Eresheim, S. (2018, January 30). Google Hacking. Security Day, FH St. Pölten.
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