Timely Feedback in Unstructured Cybersecurity Exercises

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Authors

VYKOPAL Jan OŠLEJŠEK Radek BURSKÁ Karolína ZÁKOPČANOVÁ Kristína

Year of publication 2018
Type Article in Proceedings
Conference Proceedings of Special Interest Group on Computer Science Education, Baltimore, Maryland, USA, February 21–24, 2018(SIGCSE’18)
MU Faculty or unit

Institute of Computer Science

Citation
Web https://dl.acm.org/citation.cfm?doid=3159450.3159561
Doi http://dx.doi.org/10.1145/3159450.3159561
Field Informatics
Keywords timely feedback; personalized feedback; cybersecurity; exercise; active learning; professional learners
Attached files
Description Cyber defence exercises are intensive, hands-on learning events for teams of professionals who gain or develop their skills to successfully prevent and respond to cyber attacks. The exercises mimic the real-life, routine operation of an organization which is being attacked by an unknown offender. Teams of learners receive very limited immediate feedback from the instructors during the exercise; they can usually see only a scoreboard showing the aggregated gain or loss of points for particular tasks. An in-depth analysis of learners' actions requires considerable human effort, which results in days or weeks of delay. The intensive experience is thus not followed by proper feedback facilitating actual learning, and this diminishes the effect of the exercise. In this initial work, we investigate how to provide valuable feedback to learners right after the exercise without any unnecessary delay. Based on the scoring system of a cyber defence exercise, we have developed a new feedback tool that presents an interactive, personalized timeline of exercise events. We deployed this tool during an international exercise, where we monitored participants' interactions and gathered their reflections. The results show that learners did use the new tool and rated it positively. Since this new feature is not bound to a particular defence exercise, it can be applied to all exercises that employ scoring based on the evaluation of individual exercise objectives. As a result, it enables the learner to immediately reflect on the experience gained.
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