Process Mining Analysis of Puzzle-Based Cybersecurity Training
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00125555" target="_blank" >RIV/00216224:14330/22:00125555 - isvavai.cz</a>
Result on the web
<a href="https://dl.acm.org/doi/10.1145/3502718.3524819" target="_blank" >https://dl.acm.org/doi/10.1145/3502718.3524819</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3502718.3524819" target="_blank" >10.1145/3502718.3524819</a>
Alternative languages
Result language
angličtina
Original language name
Process Mining Analysis of Puzzle-Based Cybersecurity Training
Original language description
The hands-on cybersecurity training quality is crucial to mitigate cyber threats and attacks effectively. However, practical cybersecurity training is strongly process-oriented, making the post-training analysis very difficult. This paper presents process-mining methods applied to the learning analytics workflow. We introduce a unified approach to reconstruct behavioral graphs from sparse event logs of cyber ranges. Furthermore, we discuss significant data features that affect their practical usability for educational process mining. Based on that, methods of dealing with the complexity of process graphs are presented, taking advantage of the puzzle-based gamification of in-class training sessions.
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/VI20202022158" target="_blank" >VI20202022158: Research of New Technologies to Increase the Capabilities of Cybersecurity Experts</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
Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1 (ITiCSE '22)
ISBN
9781450392013
ISSN
1942-647X
e-ISSN
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Number of pages
7
Pages from-to
449-455
Publisher name
Association for Computing Machinery
Place of publication
New York, NY, USA
Event location
Dublin, Ireland
Event date
Jul 8, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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