Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training

Radek Ošlejšek, Vít Rusnak, Karolína Burská, Valdemar Švábenský, Jan Vykopal, Jakub Cegan

View presentation: 2020-10-28T17:15:00Z GMT-0600 Change your timezone on the schedule page
2020-10-28T17:15:00Z
Exemplar figure
Classification scheme of visualizations and analytical hypotheses inferred from a unified training life cycle. For each category, we describe the motivation, relevant data, constraints, and design decisions. Existing visualizations are introduced if they exist. This conceptual model can serve as a framework providing basic guidelines for the development of analytical visualizations for various fields of cybersecurity training.
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Keywords

Multimodal interaction, Natural language interfaces, Speech interaction, Pen and touch interaction, Unit visualizations

Abstract

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.