Hands-on cybersecurity training behavior data for process mining.

The research on using process mining in learning analytics of cybersecurity exercises relies on datasets that reflect the real behavior of trainees. Although modern cyber ranges, in which training sessions are organized, can collect behavioral data in the form of event logs, the organization of such exercises is laborious. Moreover, the collected raw data has to be processed and transformed into a specific format required by process mining techniques.

Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training.

Hands-on training is an effective way to practice theoretical cybersecurity concepts and increase participants' skills. In this article, 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.