Team

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

Departments

  • Computer Science and Security

Selected Publications

Projects

Publications

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/10.1109/ICSSA48308.2019.00011
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