Vámi zvolený výběr obsahuje 24 výsledků. Upravit výběr.
Filtrování publikací

    2024

    1. RUMAN, Ádám, Martin DRAŠAR, Lukáš SADLEK, Shanchieh Jay YANG a 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, s. 1-11. ISBN 979-8-4007-1718-5. Dostupné z: https://dx.doi.org/10.1145/3664476.3664523.
    2. DAUBNER, Lukáš, Barbora BÜHNOVÁ a Tomáš PITNER. Forensic experts' view of forensic-ready software systems: A qualitative study. Journal of Software: Evolution and Process. HOBOKEN: WILEY, 2024, roč. 36, č. 5, s. 1-23. ISSN 2047-7473. Dostupné z: https://dx.doi.org/10.1002/smr.2598.
    3. DAUBNER, Lukáš, Sofija MAKSOVIĆ, Raimundas MATULEVIČIUS, Barbora BÜHNOVÁ a 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, s. 47–55. ISBN 978-3-031-59467-0. Dostupné z: https://dx.doi.org/10.1007/978-3-031-59468-7_6.
    4. DAUBNER, Lukáš, Sofija MAKSOVIĆ a Tomáš SEDLÁČEK. FREAS: Forensic-Ready Analysis Suite. 2024.

    2023

    1. DAUBNER, Lukáš, Raimundas MATULEVICIUS, Barbora BÜHNOVÁ, Matej ANTOL, Michal RŮŽIČKA a 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, s. 522-538. ISBN 978-3-031-34559-3. Dostupné z: https://dx.doi.org/10.1007/978-3-031-34560-9_31.
    2. DAUBNER, Lukáš, Matulevičius RAIMUNDAS a 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, s. 308-324. ISBN 978-3-031-33079-7. Dostupné z: https://dx.doi.org/10.1007/978-3-031-33080-3_19.
    3. DAUBNER, Lukáš, Martin MACÁK, Raimundas MATULEVIČIUS, Barbora BÜHNOVÁ, Sofija MAKSOVIĆ a Tomáš PITNER. Addressing insider attacks via forensic-ready risk management. JOURNAL OF INFORMATION SECURITY AND APPLICATIONS. ENGLAND: ELSEVIER, 2023, roč. 73, March 2023, s. 103433-103449. ISSN 2214-2126. Dostupné z: https://dx.doi.org/10.1016/j.jisa.2023.103433.
    4. DAUBNER, Lukáš, Raimundas MATULEVIČIUS, Barbora BÜHNOVÁ a 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, s. 20-43. ISBN 978-3-031-36596-6. Dostupné z: https://dx.doi.org/10.1007/978-3-031-36597-3_2.
    5. DAUBNER, Lukáš a 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, s. 1-10. ISBN 979-8-4007-0772-8. Dostupné z: https://dx.doi.org/10.1145/3600160.3605036.
    6. DAUBNER, Lukáš, Barbora BÜHNOVÁ a 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, s. 1-23. ISSN 2047-7481. Dostupné z: https://dx.doi.org/10.1002/smr.2598.

    2022

    1. DAUBNER, Lukáš, Raimundas MATULEVIČIUS, Barbora BÜHNOVÁ a 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, s. 95-106. ISBN 978-989-758-568-5. Dostupné z: https://dx.doi.org/10.5220/0011041000003176.
    2. MACÁK, Martin, Lukáš DAUBNER, Mohammadreza FANI SANI a Barbora BÜHNOVÁ. Cybersecurity Analysis via Process Mining: A Systematic Literature Review. Online. In Advanced Data Mining and Applications. Cham, Switzerland: Springer, 2022, s. 393-407. ISBN 978-3-030-95404-8. Dostupné z: https://dx.doi.org/10.1007/978-3-030-95405-5_28.
    3. ČELEDA, Pavel, Attila FARKAS, Pavel ŠEDA, Andrej TOMČI, Daniel IĽKOVIČ, Martin ŠVÉDA a Tomáš HRADSKÝ. Dohledové centrum pro monitorování výrobních informačních systémů. 2022.
    4. MACÁK, Martin, Lukáš DAUBNER, Júlia JAMNICKÁ a Barbora BÜHNOVÁ. Game Achievement Analysis: Process Mining Approach. Online. In Advanced Data Mining and Applications. Cham: Springer International Publishing, 2022, s. 68-82. ISBN 978-3-030-95407-9. Dostupné z: https://dx.doi.org/10.1007/978-3-030-95408-6_6.
    5. MACÁK, Martin, Lukáš DAUBNER, Mohammadreza FANI SANI a Barbora BÜHNOVÁ. Process Mining Usage in Cybersecurity and Software Reliability Analysis: A Systematic Literature Review. Array. Elsevier Inc., 2022, roč. 13, č. 1, s. 1-14. ISSN 2590-0056. Dostupné z: https://dx.doi.org/10.1016/j.array.2021.100120.
    6. RÁJA, Jiří, Milan BOHÁČEK, Lukáš DAUBNER a Ivo NUTÁR. SW pro ovládání nástrojů ofenzivní bezpečnosti. 2022.
    7. RÁJA, Jiří, Milan BOHÁČEK, Lukáš DAUBNER, Michal DROBŇÁK a Ivo NUTÁR. SW pro statickou verifikaci bezpečnostních opatření. 2022.

    2021

    1. DAUBNER, Lukáš, Tomáš PITNER a 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, s. 139-145. ISBN 978-80-248-4562-3.
    2. DAUBNER, Lukáš a 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, s. 1-10. ISBN 978-1-4503-9051-4. Dostupné z: https://dx.doi.org/10.1145/3465481.3470052.

    2020

    1. DAUBNER, Lukáš a 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, s. 153-160. ISBN 978-80-248-4321-6.
    2. MACÁK, Martin, Agáta KRUŽÍKOVÁ, Lukáš DAUBNER a 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, s. 222-229. ISBN 978-1-4503-7963-2. Dostupné z: https://dx.doi.org/10.1145/3387940.3391475.
    3. DAUBNER, Lukáš, Martin MACÁK, Barbora BÜHNOVÁ a 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, s. 2264-2269. ISBN 978-1-7281-6251-5. Dostupné z: https://dx.doi.org/10.1109/BigData50022.2020.9378035.
    4. DAUBNER, Lukáš, Martin MACÁK, Barbora BÜHNOVÁ a 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, s. 1658-1661. ISBN 978-1-4503-6866-7. Dostupné z: https://dx.doi.org/10.1145/3341105.3374094.

    2019

    1. CHREN, Stanislav, Barbora BÜHNOVÁ, Martin MACÁK, Lukáš DAUBNER a 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, s. 100-109. ISBN 978-1-7281-1000-4. Dostupné z: https://dx.doi.org/10.1109/ICSE-SEET.2019.00019.
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Zobrazeno: 28. 11. 2024 13:13