Publication Records

RUMAN, Ádám, Martin DRAŠAR, Lukáš SADLEK, Shanchieh Jay YANG and Pavel ČELEDA. Adversary Tactic Driven Scenario and Terrain Generation with Partial Infrastructure Specification. Online. In ARES '24: Proceedings of the 19th International Conference on Availability, Reliability and Security. New York, United States: Association for Computing Machinery, 2024, p. 1-11. ISBN 979-8-4007-1718-5. Available from: https://dx.doi.org/10.1145/3664476.3664523.

DAUBNER, Lukáš, Barbora BÜHNOVÁ and Tomáš PITNER. Forensic experts' view of forensic-ready software systems: A qualitative study. Journal of Software: Evolution and Process. HOBOKEN: WILEY, 2024, vol. 36, No 5, p. 1-23. ISSN 2047-7473. Available from: https://dx.doi.org/10.1002/smr.2598.

DAUBNER, Lukáš, Sofija MAKSOVIĆ, Raimundas MATULEVIČIUS, Barbora BÜHNOVÁ and Tomáš SEDLÁČEK. Forensic-Ready Analysis Suite: A Tool Support for Forensic-Ready Software Systems Design. Online. In International Conference on Research Challenges in Information Science (RCIS 2024). Neuveden: Springer, 2024, p. 47–55. ISBN 978-3-031-59467-0. Available from: https://dx.doi.org/10.1007/978-3-031-59468-7_6.

DAUBNER, Lukáš, Sofija MAKSOVIĆ and Tomáš SEDLÁČEK. FREAS: Forensic-Ready Analysis Suite. 2024.

DAUBNER, Lukáš, Raimundas MATULEVICIUS, Barbora BÜHNOVÁ, Matej ANTOL, Michal RŮŽIČKA and Tomáš PITNER. A Case Study on the Impact of Forensic-Ready Information Systems on the Security Posture. Online. In Advanced Information Systems Engineering. Cham: Springer Nature Switzerland, 2023, p. 522-538. ISBN 978-3-031-34559-3. Available from: https://dx.doi.org/10.1007/978-3-031-34560-9_31.

DAUBNER, Lukáš, Matulevičius RAIMUNDAS and Barbora BÜHNOVÁ. A Model of Qualitative Factors in Forensic-Ready Software Systems. Online. In Research Challenges in Information Science: Information Science and the Connected World. Cham: Springer Nature Switzerland, 2023, p. 308-324. ISBN 978-3-031-33079-7. Available from: https://dx.doi.org/10.1007/978-3-031-33080-3_19.

DAUBNER, Lukáš, Martin MACÁK, Raimundas MATULEVIČIUS, Barbora BÜHNOVÁ, Sofija MAKSOVIĆ and Tomáš PITNER. Addressing insider attacks via forensic-ready risk management. JOURNAL OF INFORMATION SECURITY AND APPLICATIONS. ENGLAND: ELSEVIER, 2023, vol. 73, March 2023, p. 103433-103449. ISSN 2214-2126. Available from: https://dx.doi.org/10.1016/j.jisa.2023.103433.

DAUBNER, Lukáš, Raimundas MATULEVIČIUS, Barbora BÜHNOVÁ and Tomáš PITNER. BPMN4FRSS: An BPMN Extension to Support Risk-Based Development of Forensic-Ready Software Systems. Online. In Evaluation of Novel Approaches to Software Engineering. Cham: Springer Nature Switzerland, 2023, p. 20-43. ISBN 978-3-031-36596-6. Available from: https://dx.doi.org/10.1007/978-3-031-36597-3_2.

DAUBNER, Lukáš and Adam POVAŽANEC. Data Loss Prevention Solution for Linux Endpoint Devices. Online. In ARES '23: Proceedings of the 18th International Conference on Availability, Reliability and Security. United States: Association for Computing Machinery, 2023, p. 1-10. ISBN 979-8-4007-0772-8. Available from: https://dx.doi.org/10.1145/3600160.3605036.

DAUBNER, Lukáš, Barbora BÜHNOVÁ and Tomáš PITNER. Forensic experts' view of forensic-ready software systems: A qualitative study. Journal of Software: Evolution and Process. John Wiley & Sons Ltd., 2023, Neuveden, e2598, p. 1-23. ISSN 2047-7481. Available from: https://dx.doi.org/10.1002/smr.2598.

DAUBNER, Lukáš, Raimundas MATULEVIČIUS, Barbora BÜHNOVÁ and Tomáš PITNER. Business Process Model and Notation for Forensic-Ready Software Systems. Online. In Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering. Setúbal, Portugal: SciTePress, 2022, p. 95-106. ISBN 978-989-758-568-5. Available from: https://dx.doi.org/10.5220/0011041000003176.

MACÁK, Martin, Lukáš DAUBNER, Mohammadreza FANI SANI and Barbora BÜHNOVÁ. Cybersecurity Analysis via Process Mining: A Systematic Literature Review. Online. In Advanced Data Mining and Applications. Cham, Switzerland: Springer, 2022, p. 393-407. ISBN 978-3-030-95404-8. Available from: https://dx.doi.org/10.1007/978-3-030-95405-5_28.

MACÁK, Martin, Lukáš DAUBNER, Júlia JAMNICKÁ and Barbora BÜHNOVÁ. Game Achievement Analysis: Process Mining Approach. Online. In Advanced Data Mining and Applications. Cham: Springer International Publishing, 2022, p. 68-82. ISBN 978-3-030-95407-9. Available from: https://dx.doi.org/10.1007/978-3-030-95408-6_6.

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, No 1, p. 1-14. ISSN 2590-0056. Available from: https://dx.doi.org/10.1016/j.array.2021.100120.

RÁJA, Jiří, Milan BOHÁČEK, Lukáš DAUBNER and Ivo NUTÁR. SW pro ovládání nástrojů ofenzivní bezpečnosti (SW for orchestration of offensive security tools). 2022.

RÁJA, Jiří, Milan BOHÁČEK, Lukáš DAUBNER, Michal DROBŇÁK and Ivo NUTÁR. SW pro statickou verifikaci bezpečnostních opatření (SW for static verification of security measures). 2022.

DAUBNER, Lukáš, Tomáš PITNER and Jan MINISTR. Aspects of Forensic-Ready Software Systems in Public Service Domain. In Jan Ministr. Proceedings of the 24th International Conference on Information Technology for Practice. Ostrava, Czech Republic: VŠB - Technical University Ostrava, Centre for Information Technology, 2021, p. 139-145. ISBN 978-80-248-4562-3.

DAUBNER, Lukáš and Raimundas MATULEVIČIUS. Risk-Oriented Design Approach For Forensic-Ready Software Systems. Online. In The 16th International Conference on Availability, Reliability and Security (ARES 2021). New York, NY, USA: Association for Computing Machinery, 2021, p. 1-10. ISBN 978-1-4503-9051-4. Available from: https://dx.doi.org/10.1145/3465481.3470052.

DAUBNER, Lukáš and Tomáš PITNER. Secure software modeling methods for forensic readiness. Online. In Jan Ministr. Proceedings of the 22nd International Conference on Information Technology for Practice. Ostrava, Czech Republic: VŠB - Technical University Ostrava, Centre for Information Technology, 2020, p. 153-160. ISBN 978-80-248-4321-6.

MACÁK, Martin, Agáta KRUŽÍKOVÁ, Lukáš DAUBNER and Barbora BÜHNOVÁ. Simulation Games Platform for Unintentional Perpetrator Attack Vector Identification. Online. In ICSEW'20: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops. New York, NY, USA: Association for Computing Machinery, 2020, p. 222-229. ISBN 978-1-4503-7963-2. Available from: https://dx.doi.org/10.1145/3387940.3391475.

DAUBNER, Lukáš, Martin MACÁK, Barbora BÜHNOVÁ and Tomáš PITNER. Towards verifiable evidence generation in forensic-ready systems. Online. In 2020 IEEE International Conference on Big Data (Big Data). Atlanta, United States: IEEE, 2020, p. 2264-2269. ISBN 978-1-7281-6251-5. Available from: https://dx.doi.org/10.1109/BigData50022.2020.9378035.

DAUBNER, Lukáš, Martin MACÁK, Barbora BÜHNOVÁ and Tomáš PITNER. Verification of Forensic Readiness in Software Development: A Roadmap. Online. In Proceedings of the 35th Annual ACM Symposium on Applied Computing. New York, NY, USA: Association for Computing Machinery, 2020, p. 1658-1661. ISBN 978-1-4503-6866-7. Available from: https://dx.doi.org/10.1145/3341105.3374094.

CHREN, Stanislav, Barbora BÜHNOVÁ, Martin MACÁK, Lukáš DAUBNER and Bruno ROSSI. Mistakes in UML Diagrams: Analysis of Student Projects in a Software Engineering Course. Online. In Sarah Beecham, Daniela Damian. Proceedings of the 41st International Conference on Software Engineering: Software Engineering Education and Training. Piscataway, NJ, USA: IEEE Press, 2019, p. 100-109. ISBN 978-1-7281-1000-4. Available from: https://dx.doi.org/10.1109/ICSE-SEET.2019.00019.