Data-driven insight into the puzzle-based cybersecurity training

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Authors

DOČKALOVÁ BURSKÁ Karolína RUSŇÁK Vít OŠLEJŠEK Radek

Year of publication 2022
Type Article in Periodical
Magazine / Source Computers & Graphics
MU Faculty or unit

Faculty of Informatics

Citation
Web
Doi http://dx.doi.org/10.1016/j.cag.2021.09.011
Keywords visual analytics; learning analytics; cybersecurity education; hands-on training; design study
Attached files
Description Puzzle-based training is a common type of hands-on activity accompanying formal and informal cybersecurity education, much like programming or other IT skills. However, there is a lack of tools to help the educators with the post-training data analysis. Through a visualization design study, we designed the Training Analysis Tool that supports learning analysis of a single hands-on session. It allows an in-depth trainee comparison and enables the identification of flaws in puzzle assignments. We also performed a qualitative evaluation with cybersecurity experts and students. The participants apprised the positive influence of the tool on their workflows. Our insights and recommendations could aid the design of future tools supporting educators, even beyond cyber security.
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