Prof. Dr. Maria Leitner

Lehrstuhlinhaberin

Telefon:   +49 941 943-68620
E-Mail: maria.leitner@informatik.uni-regensburg.de

Raum BA429
 

Biography

Prof. Dr. Maria Leitner is professor at University of Regensburg. Her research focuses on process automation, secure process-oriented information systems and cyber security. Before, she was professor of Computer Science at Faculty of Computer Science, University of Vienna and scientist at AIT Austrian Institute of Technology, Center for Digital Safety & Security in Vienna, Austria. She was a visiting researcher at the Center for Cybersecurity and Digital Forensics at Arizona State University in May 2017.

Between 2010 and 2013, Dr. Leitner has worked at University of Vienna, Faculty of Computer Science, research group Workflow Systems and Technology as teaching and research assistant and completed her PhD with distinction in 2015. Her PhD thesis focused on security policy integration and life cycle management in process-aware information systems. In 2014, Dr. Leitner worked as a researcher at SBA research, a IT security research cluster in Vienna where she focused on the detection of anomalies in access control systems.

Publications

2024

Pfaller, T., Skopik, F., Smith, P., & Leitner, M. (2024). Towards Customized Cyber Exercises using a Process-based Lifecycle Model. Proceedings of the 2024 European Interdisciplinary Cybersecurity Conference, 37–45. doi: https://doi.org/10.1145/3655693.3655713

Leitner, M., Skopik, F., & Pahi, T. (2024). Operational cyber incident coordination revisited: Providing cyber situational awareness across organizations and countries. Information Security Journal: A Global Perspective (in press) https://doi.org/10.1080/19393555.2024.2334787

2023

N. Rudolf, K. Böhmer, and M. Leitner, “BAnDIT: Business Process Anomaly Detection in Transactions,” in Cooperative Information Systems - 29th International Conference, CoopIS 2023, Groningen, The Netherlands, October 30 - November 3, 2023, Proceedings, M. Sellami, M.-E. Vidal, B. F. van Dongen, W. Gaaloul, and H. Panetto, Eds., in Lecture Notes in Computer Science, vol. 14353. Springer, 2023, pp. 405–415. doi: https://doi.org/10.1007/978-3-031-46846-9_22.

P. Thiele, L. Bernado, D. Löschenbrand, B. Rainer, C. Sulzbachner, M. Leitner and T. Zemen., “Machine Learning Based Prediction of Frequency Hopping Spread Spectrum Signals,” in 34th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC 2023, Toronto, ON, Canada, September 5-8, 2023, IEEE, 2023, pp. 1–6. doi: https://doi.org/10.1109/PIMRC56721.2023.10293939.

M. Leitner, “Sicherheit und Datenschutz in der elektronischen Beteiligung,” in Handbuch Digitalisierung und politische Beteiligung, N. Kersting, J. Radtke, and S. Baringhorst, Eds., Wiesbaden: Springer Fachmedien, Apr. 2023, pp. 1–13. doi: https://doi.org/10.1007/978-3-658-31480-4_62-1.

M. Leitner, “A Scenario-Driven Cyber Security Awareness Exercise Utilizing Dynamic Polling: Methodology and Lessons Learned,” in Proceedings of the 9th International Conference on Information Systems Security and Privacy, ICISSP 2023, Lisbon, Portugal, February 22-24, 2023, P. Mori, G. Lenzini, and S. Furnell, Eds., SciTePress, 2023, pp. 634–642. doi: https://doi.org/10.5220/0011780400003405.

Ältere Veröffentlichungen können auf den Seiten DBLP  oder ORCID eingesehen werden.