Cybersecurity Analysis via Process Mining: A Systematic
Literature Review

D 2022

Cybersecurity Analysis via Process Mining: A Systematic Literature Review

MACÁK, Martin, Lukáš DAUBNER, Mohammadreza FANI SANI and Barbora BÜHNOVÁ

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

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

DOI

http://dx.doi.org/10.1007/978-3-030-95405-5_28

UT WoS

000755371100028

Keywords in English

Process mining; Cybersecurity; Literature review

Abstract

V originále

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 project

Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur

Citovat

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.

@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 and Barbora BÜHNOVÁ. Cybersecurity Analysis via Process Mining: A Systematic Literature Review. Online. In \textit{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.

Detailed Information on Publication Record