Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training

• Authors: OŠLEJŠEK Radek; RUSŇÁK Vít; DOČKALOVÁ BURSKÁ Karolína; ŠVÁBENSKÝ Valdemar; VYKOPAL Jan; ČEGAN Jakub
• Year of publication: 2021
• Type: Article in Periodical
• Magazine / Source: IEEE Transactions on Visualization and Computer Graphics
• MU Faculty or unit: Faculty of Informatics
• web: https://doi.org/10.1109/TVCG.2020.2977336
• Doi: http://dx.doi.org/10.1109/TVCG.2020.2977336
• Keywords: Visual analytics; cybersecurity; hands-on training; classification; education

Attached files

• 2021-TVCG-conceptual-model-visual-analytics-hands-on-cybersecurity-training-paper.pdf

• Description: Hands-on training is an effective way to practice theoretical cybersecurity concepts and increase participants’ skills. In this paper, we discuss the application of visual analytics principles to the design, execution, and evaluation of training sessions. We propose a conceptual model employing visual analytics that supports the sensemaking activities of users involved in various phases of the training life cycle. The model emerged from our long-term experience in designing and organizing diverse hands-on cybersecurity training sessions. It provides a classification of visualizations and can be used as a framework for developing novel visualization tools supporting phases of the training life-cycle. We demonstrate the model application on examples covering two types of cybersecurity training programs.

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