Process Mining Analysis of Puzzle-Based Cybersecurity Training

D 2022

Process Mining Analysis of Puzzle-Based Cybersecurity Training

MACÁK, Martin, Radek OŠLEJŠEK a Barbora BÜHNOVÁ

Základní údaje

Originální název

Process Mining Analysis of Puzzle-Based Cybersecurity Training

Autoři

MACÁK, Martin (703 Slovensko, garant, domácí), Radek OŠLEJŠEK (203 Česká republika, domácí) a Barbora BÜHNOVÁ (203 Česká republika, domácí)

Vydání

New York, NY, USA, Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1 (ITiCSE '22), od s. 449-455, 7 s. 2022

Nakladatel

Association for Computing Machinery

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

Permalink to the publisher Accepted manuscript (arxiv.org)

Kód RIV

RIV/00216224:14330/22:00125555

Organizační jednotka

Fakulta informatiky

ISBN

978-1-4503-9201-3

ISSN

DOI

http://dx.doi.org/10.1145/3502718.3524819

UT WoS

001037375600068

Klíčová slova česky

kyberbezpečnostní vzdělávání, CTF hry; procesní modelování, datová analýza

Klíčová slova anglicky

cybersecurity training; CTF game; process mining; data analysis

Štítky

core_A, firank_A

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 19. 12. 2023 17:08, doc. RNDr. Radek Ošlejšek, Ph.D.

Anotace

V originále

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.

Návaznosti

MUNI/A/1230/2021, interní kód MU

Název: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity 22 (Akronym: SKOMU)

Investor: Masarykova univerzita, Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity 22

VI20202022158, projekt VaV

Název: Výzkum nových technologií pro zvýšení schopností odborníků na kyberbezpečnost (Akronym: KYPOLAB)

Investor: Ministerstvo vnitra ČR, Výzkum nových technologií pro zvýšení schopností odborníků na kyberbezpečnost

Přiložené soubory

2022-iticse-process-mining-analysis-puzzle-based-cybersecurity-training-presentation.pdf

Vyhledat podobné dokumenty

2022-iticse-process-mining-analysis-puzzle-based-cybersecurity-training-paper.pdf

Vyhledat podobné dokumenty

Citovat

MACÁK, Martin, Radek OŠLEJŠEK a Barbora BÜHNOVÁ. Process Mining Analysis of Puzzle-Based Cybersecurity Training. Online. In Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1 (ITiCSE '22). New York, NY, USA: Association for Computing Machinery, 2022, s. 449-455. ISBN 978-1-4503-9201-3. Dostupné z: https://dx.doi.org/10.1145/3502718.3524819.

@inproceedings{1842421,
   author = {Macák, Martin and Ošlejšek, Radek and Bühnová, Barbora},
   address = {New York, NY, USA},
   booktitle = {Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1 (ITiCSE '22)},
   doi = {http://dx.doi.org/10.1145/3502718.3524819},
   keywords = {cybersecurity training; CTF game; process mining; data analysis},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {New York, NY, USA},
   isbn = {978-1-4503-9201-3},
   pages = {449-455},
   publisher = {Association for Computing Machinery},
   title = {Process Mining Analysis of Puzzle-Based Cybersecurity Training},
   url = {https://dl.acm.org/doi/10.1145/3502718.3524819},
   year = {2022}
}

TY  - JOUR
ID  - 1842421
AU  - Macák, Martin - Ošlejšek, Radek - Bühnová, Barbora
PY  - 2022
TI  - Process Mining Analysis of Puzzle-Based Cybersecurity Training
PB  - Association for Computing Machinery
CY  - New York, NY, USA
SN  - 9781450392013
KW  - cybersecurity training
KW  - CTF game
KW  - process mining
KW  - data analysis
UR  - https://dl.acm.org/doi/10.1145/3502718.3524819
N2  - 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.
ER  -

MACÁK, Martin, Radek OŠLEJŠEK a Barbora BÜHNOVÁ. Process Mining Analysis of Puzzle-Based Cybersecurity Training. Online. In \textit{Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1 (ITiCSE '22)}. New York, NY, USA: Association for Computing Machinery, 2022, s.~449-455. ISBN~978-1-4503-9201-3. Dostupné z: https://dx.doi.org/10.1145/3502718.3524819.

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