Dipl.-Ing. Sebastian Eresheim BSc
-
Junior Researcher
Josef Ressel Center for Blockchain-Technologies and Security management - Department of Computer Science and Security
Study programmes
- Data Intelligence (MA)
- Data Science and Business Analytics (BA)
Departments
- Computer Science and Security
Selected Publications
Projects
Publications
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). 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.
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