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2020 – today
- 2024
[j3]Lukas Daubner
, Barbora Buhnova, Tomás Pitner:
Forensic experts' view of forensic-ready software systems: A qualitative study. J. Softw. Evol. Process. 36(5) (2024)- [c13]Lukas Daubner, Sofija Maksovic, Raimundas Matulevicius, Barbora Buhnova, Tomás Sedlácek:
Forensic-Ready Analysis Suite: A Tool Support for Forensic-Ready Software Systems Design. RCIS (2) 2024: 47-55 - 2023
- [j2]Lukas Daubner, Martin Macák, Raimundas Matulevicius, Barbora Buhnova, Sofija Maksovic, Tomás Pitner:
Addressing insider attacks via forensic-ready risk management. J. Inf. Secur. Appl. 73: 103433 (2023) - [c12]Lukas Daubner, Adam Povazanec:
Data Loss Prevention Solution for Linux Endpoint Devices. ARES 2023: 130:1-130:10 - [c11]Lukas Daubner, Raimundas Matulevicius, Barbora Buhnova, Matej Antol, Michal Ruzicka, Tomás Pitner:
A Case Study on the Impact of Forensic-Ready Information Systems on the Security Posture. CAiSE 2023: 522-538 - [c10]Lukas Daubner, Raimundas Matulevicius, Barbora Buhnova:
A Model of Qualitative Factors in Forensic-Ready Software Systems. RCIS 2023: 308-324 - 2022
- [j1]Martin Macák, Lukas Daubner, Mohammadreza Fani Sani, Barbora Buhnova:
Process mining usage in cybersecurity and software reliability analysis: A systematic literature review. Array 13: 100120 (2022) - [c9]Lukas Daubner, Raimundas Matulevicius, Barbora Buhnova, Tomás Pitner:
BPMN4FRSS: An BPMN Extension to Support Risk-Based Development of Forensic-Ready Software Systems. ENASE (Selected Papers) 2022: 20-43 - [c8]Lukas Daubner, Raimundas Matulevicius, Barbora Buhnova, Tomás Pitner:
Business Process Model and Notation for Forensic-Ready Software Systems. ENASE 2022: 95-106 - [i2]Lukas Daubner, Martin Macák, Raimundas Matulevicius, Barbora Buhnova, Sofija Maksovic, Tomás Pitner:
Forensic-Ready Risk Management Concepts. CoRR abs/2210.06840 (2022) - 2021
- [c7]Lukas Daubner, Raimundas Matulevicius:
Risk-Oriented Design Approach For Forensic-Ready Software Systems. ARES 2021: 48:1-48:10 - [c6]Martin Macák, Lukas Daubner, Julia Jamnicka, Barbora Buhnova:
Game Achievement Analysis: Process Mining Approach. ADMA 2021: 68-82 - [c5]Martin Macák, Lukas Daubner, Mohammadreza Fani Sani, Barbora Buhnova:
Cybersecurity Analysis via Process Mining: A Systematic Literature Review. ADMA 2021: 393-407 - [i1]Lukas Daubner, Raimundas Matulevicius:
Risk-Oriented Design Approach For Forensic-Ready Software Systems. CoRR abs/2106.10336 (2021) - 2020
- [c4]Lukas Daubner, Martin Macák, Barbora Buhnova, Tomás Pitner:
Towards verifiable evidence generation in forensic-ready systems. IEEE BigData 2020: 2264-2269 - [c3]Martin Macák, Agata Kruzikova, Lukas Daubner, Barbora Buhnova:
Simulation Games Platform for Unintentional Perpetrator Attack Vector Identification. ICSE (Workshops) 2020: 222-229 - [c2]Lukas Daubner, Martin Macák, Barbora Buhnova, Tomás Pitner:
Verification of forensic readiness in software development: a roadmap. SAC 2020: 1658-1661
2010 – 2019
- 2019
- [c1]Stanislav Chren, Barbora Buhnova, Martin Macák, Lukas Daubner, Bruno Rossi:
Mistakes in UML diagrams: analysis of student projects in a software engineering course. ICSE (SEET) 2019: 100-109
Coauthor Index
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