Team

Dipl.-Ing. Sebastian Eresheim BSc

  • Junior Researcher
    Josef Ressel Zentrum für Blockchain-Technologien und Sicherheitsmanagement
  • Department Informatik und Security
Arbeitsplatz: B - Campus-Platz 1

Studiengänge

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

Departments

  • Informatik und Security

Ausgewählte Publikationen

Projekte

Publikationen

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. (2020). Cybersecurity Containment Agent. Machine Learning Prague 2020.
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
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