Cybersecurity Analysis via Process Mining: A Systematic Literature Review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00124995" target="_blank" >RIV/00216224:14330/22:00124995 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-95405-5_28" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-95405-5_28</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-95405-5_28" target="_blank" >10.1007/978-3-030-95405-5_28</a>
Alternative languages
Result language
angličtina
Original language name
Cybersecurity Analysis via Process Mining: A Systematic Literature Review
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advanced Data Mining and Applications
ISBN
9783030954048
ISSN
0302-9743
e-ISSN
—
Number of pages
15
Pages from-to
393-407
Publisher name
Springer
Place of publication
Cham, Switzerland
Event location
Sydney, NSW, Australia
Event date
Jan 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000755371100028