MACÁK, Martin, Lukáš DAUBNER, Mohammadreza FANI SANI and Barbora BÜHNOVÁ. Cybersecurity Analysis via Process Mining: A Systematic Literature Review. Online. In Advanced Data Mining and Applications. Cham, Switzerland: Springer, 2022, p. 393-407. ISBN 978-3-030-95404-8. Available from: https://dx.doi.org/10.1007/978-3-030-95405-5_28.
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Basic information
Original name Cybersecurity Analysis via Process Mining: A Systematic Literature Review
Authors MACÁK, Martin (703 Slovakia, guarantor, belonging to the institution), Lukáš DAUBNER (203 Czech Republic, belonging to the institution), Mohammadreza FANI SANI and Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution).
Edition Cham, Switzerland, Advanced Data Mining and Applications, p. 393-407, 15 pp. 2022.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/22:00124995
Organization unit Faculty of Informatics
ISBN 978-3-030-95404-8
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-030-95405-5_28
UT WoS 000755371100028
Keywords in English Process mining; Cybersecurity; Literature review
Tags core_B, firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 27/3/2023 17:05.
Abstract
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.
Links
CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(CEP code: EF16_019/0000822)
Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)
Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research
EF16_019/0000822, research and development projectName: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur
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