EDBT 2026 Demo / reviewers in the wild / expert
Lukas Daubner
dblp:242/2218
· DBLP profile ↗
4ranked-venue papers in the field
2as first author
3since 2021 · last 2023
0000-0003-0853-2776ORCID · verified
Domains — venue-derived; a paper can count in several
Data Mining & Knowledge Discovery · 2Big Data, Cloud & Distributed Data Systems · 1 (1 first)Business Process & Enterprise Data · 1 (1 first)
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | A Case Study on the Impact of Forensic-Ready Information Systems on the Security PostureabstractAbstract While approaches aimed at developing forensic-ready systems are starting to emerge, it is still primarily a theoretical concept. This paper presents a case study of integrating forensic readiness capabilities into SensitiveCloud, an information system for storing and processing sensitive data. A risk-based approach to forensic readiness design is followed to achieve it. Consequently, weaknesses in both processes and systems are identified, and forensic readiness requirements are formulated. This case study reports on lessons learned in a practical implementation of a forensic-ready system, its impact on security, and its support towards ISO/IEC 27k. Lukas Daubner, Raimundas Matulevicius, Barbora Buhnova, Matej Antol, Michal Ruzicka, Tomás Pitner |
CAiSE | 1 |
| 2021 | Game Achievement Analysis: Process Mining Approach
Martin Macák, Lukas Daubner, Julia Jamnicka, Barbora Buhnova |
ADMA | 2 |
| 2021 | Cybersecurity Analysis via Process Mining: A Systematic Literature Review
Martin Macák, Lukas Daubner, Mohammadreza Fani Sani, Barbora Buhnova |
ADMA | 2 |
| 2020 | Towards verifiable evidence generation in forensic-ready systemsabstractWith the increasing threat of cybercrime, there is also an increasing need for the forensic investigation of those crimes. However, the topic of systematic preparation on the possible forensic investigation during the software development, called forensic readiness, has only been explored since recently. Thus, there are still many challenges and open issues. One of the obstacles is ensuring the correct implementation. Moreover, the growing volume and variety of digital evidence produced by the systems have to be put into consideration. It is especially important in the critical information infrastructure domain where potential cyberattacks could impact the safety of people. In this paper, we present research towards verification of forensic readiness in software development, with a focus on digital evidence they produce, to assist the advancement of this research domain. Furthermore, we formulate a process that serves a template for designing, developing, and refining a verification method for forensic-ready software systems. Lukas Daubner, Martin Macák, Barbora Buhnova, Tomás Pitner |
IEEE BigData | 1 |