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 a Barbora BÜHNOVÁ

Základní údaje

Originální název

Cybersecurity Analysis via Process Mining: A Systematic Literature Review

Autoři

MACÁK, Martin (703 Slovensko, garant, domácí), Lukáš DAUBNER (203 Česká republika, domácí), Mohammadreza FANI SANI a Barbora BÜHNOVÁ (203 Česká republika, domácí)

Vydání

Cham, Switzerland, Advanced Data Mining and Applications, od s. 393-407, 15 s. 2022

Nakladatel

Springer

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Švýcarsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Impakt faktor

Impact factor: 0.402 v roce 2005

Kód RIV

RIV/00216224:14330/22:00124995

Organizační jednotka

Fakulta informatiky

ISBN

978-3-030-95404-8

ISSN

DOI

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

UT WoS

000755371100028

Klíčová slova anglicky

Process mining; Cybersecurity; Literature review

Štítky

core_B, firank_B

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 27. 3. 2023 17:05, RNDr. Pavel Šmerk, Ph.D.

Anotace

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.

Návaznosti

CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(Kód CEP: EF16_019/0000822)

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Akronym: C4e)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur, PO 1 Posilování kapacit pro kvalitní výzkum

EF16_019/0000822, projekt VaV

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

Citovat

MACÁK, Martin, Lukáš DAUBNER, Mohammadreza FANI SANI a Barbora BÜHNOVÁ. Cybersecurity Analysis via Process Mining: A Systematic Literature Review. Online. In 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.

@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.

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