Process Mining

This project is focused on process mining in the cybersecurity domain. On this page, you can find submitted and published papers and their datasets.

Research Topics

• Insider threat detection
• Unintentional perpetrator attack vector identification
• Cybersecurity training analysis

Publications and Datasets

1. MACÁK, Martin, Lukáš Daubner, Mohammadreza Fani Sani and Barbora Bühnová. Process Mining Usage in Cybersecurity and Software Reliability Analysis: A Systematic Literature Review. Array. Elsevier Inc., 2022, vol. 13, p. 1-14.
2. MACÁK, Martin, Radek Václavek, Daša Kušniráková, Raimundas Matulevičius and Barbora Bühnová. Scenarios for Process-Aware Insider Attack Detection in Manufacturing. In Proceedings of the 17th International Conference on Availability, Reliability and Security. New York, NY, USA: Association for Computing Machinery, 2022. p. 860-869.
3. MACÁK, Martin, Ivan Vanát, Michal Merjavý, Tomáš Jevočin and Barbora Bühnová. Towards Process Mining Utilization in Insider Threat Detection from Audit Logs. In 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS). New York: IEEE, 2020. p. 250-255 (dataset publicly available ​here).
4. MACÁK, Martin, Štefan Bojnák and Barbora Bühnová. Identification of Unintentional Perpetrator Attack Vectors using Simulation Game: A Case Study. In Proceedings of the 16th Conference on Computer Science and Intelligence Systems. New York: IEEE, 2021. p. 349-356 (dataset publicly available ​here, toolset publicly available here).
5. MACÁK, Martin, Radek Ošlejšek and Barbora Bühnová. Process Mining Analysis of Puzzle-Based Cybersecurity Training. In Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1 (ITiCSE '22). New York, NY, USA: Association for Computing Machinery, 2022. p. 449-455 (dataset publicly available here).
6. MACÁK, Martin, Daniela Krúželová, Stanislav Chren and Barbora Bühnová. Using Process Mining for Git Log Analysis of Projects in a Software Development Course. Education and Information Technologies. 2021, vol. 26, No 5, p. 5939-5969 (dataset publicly available here).
7. MACÁK, Martin, Lukáš Daubner, Júlia Jamnická and Barbora Bühnová. Game Achievement Analysis: Process Mining Approach. In Advanced Data Mining and Applications. Cham: Springer International Publishing, 2022. p. 68-82 (dataset publicly available here, toolset publicly available here).
8. MACÁK, Martin, Radek Ošlejšek and Barbora Bühnová. Detecting Masquerading Traitors from Process Visualization of Computer Usage. In Proceedings of the 7th International Workshop on Applications of AI, Cyber Security and Economics Data Analytics.
9. MACÁK, Martin, Matúš Štovčik and Barbora Bühnová. A Comparison of Process Representations' Suitability for Process Mining Insider Attack Detection from Windows Event Logs. In Proceedings of the 39th Annual ACM Symposium on Applied Computing.
10. MACÁK, Martin, Daniel Rozehnal, Maria Leitner and Barbora Bühnová. Process Mining Insider Attack Detection Framework. Journal of Information Security and Applications. England: Elsevier, 2023 (dataset publicly available ​here, toolset publicly available here).​