Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{1794019,
author = {Macák, Martin and Daubner, Lukáš and Fani Sani, Mohammadreza and Bühnová, Barbora},
address = {Cham, Switzerland},
booktitle = {Advanced Data Mining and Applications},
doi = {http://dx.doi.org/10.1007/978-3-030-95405-5_28},
keywords = {Process mining; Cybersecurity; Literature review},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Cham, Switzerland},
isbn = {978-3-030-95404-8},
pages = {393-407},
publisher = {Springer},
title = {Cybersecurity Analysis via Process Mining: A Systematic Literature Review},
url = {https://link.springer.com/chapter/10.1007/978-3-030-95405-5_28},
year = {2022}
}
TY - JOUR
ID - 1794019
AU - Macák, Martin - Daubner, Lukáš - Fani Sani, Mohammadreza - Bühnová, Barbora
PY - 2022
TI - Cybersecurity Analysis via Process Mining: A Systematic Literature Review
PB - Springer
CY - Cham, Switzerland
SN - 9783030954048
KW - Process mining
KW - Cybersecurity
KW - Literature review
UR - https://link.springer.com/chapter/10.1007/978-3-030-95405-5_28
N2 - The digitalization of our society is only possible in secure software systems governing ongoing critical processes. The understanding of mutual interdependencies of events and processes is crucial for cybersecurity. One of the promising ways to tackle these challenges is process mining, which is a set of techniques that aim to mine knowledge from processes. However, it is unclear how process mining can be practically used in the context of cybersecurity. In this work, we investigate the potential of applying process mining in cybersecurity and support research efforts in this area via collecting existing applications, discussing current trends, and providing promising research directions. To this end, we have conducted a systematic literature review covering all relevant works between 2014 and 2020.
ER -
MACÁK, Martin, Lukáš DAUBNER, Mohammadreza FANI SANI a Barbora BÜHNOVÁ. Cybersecurity Analysis via Process Mining: A Systematic Literature Review. Online. In \textit{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.
|
