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@inproceedings{1729928,
author = {Daubner, Lukáš and Macák, Martin and Bühnová, Barbora and Pitner, Tomáš},
address = {Atlanta, United States},
booktitle = {2020 IEEE International Conference on Big Data (Big Data)},
doi = {http://dx.doi.org/10.1109/BigData50022.2020.9378035},
keywords = {Forensic Readiness; Verification; Software Development; Forensic by Design; Digital Evidence},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Atlanta, United States},
isbn = {978-1-7281-6251-5},
pages = {2264-2269},
publisher = {IEEE},
title = {Towards verifiable evidence generation in forensic-ready systems},
year = {2020}
}
TY - JOUR
ID - 1729928
AU - Daubner, Lukáš - Macák, Martin - Bühnová, Barbora - Pitner, Tomáš
PY - 2020
TI - Towards verifiable evidence generation in forensic-ready systems
PB - IEEE
CY - Atlanta, United States
SN - 9781728162515
KW - Forensic Readiness
KW - Verification
KW - Software Development
KW - Forensic by Design
KW - Digital Evidence
N2 - With 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.
ER -
DAUBNER, Lukáš, Martin MACÁK, Barbora BÜHNOVÁ a Tomáš PITNER. Towards verifiable evidence generation in forensic-ready systems. Online. In \textit{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.
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