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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Dataset From Cybersecurity Tabletop Exercises in the INJECT Platform

Authors: Vykopal, Jan; Švábenský, Valdemar; Čeleda, Pavel;

Dataset From Cybersecurity Tabletop Exercises in the INJECT Platform

Abstract

Repository content: Dataset from cybersecurity tabletop exercises (TTXs) conducted using the open-source INJECT Exercise Platform. For details, please see: Documentation of the exercise log format. README.md file in the attached ZIP archive. Attribution (How to cite): If you use or build upon the materials, please use the BibTeX or full-text citation entry to cite the following paper: Conrad Borchers, Valdemar Švábenský, Sandesh K. Kafle, Kevin K. Tang, and Jan Vykopal.Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?In Proceedings of the 27th International Conference on Artificial Intelligence in Education (AIED), 2026.https://arxiv.org/pdf/2603.28553 @article{Borchers2026multimodal, author = {Borchers, Conrad and \v{S}v\'{a}bensk\'{y}, Valdemar and Kafle, Sandesh K. and Tang, Kevin K. and Vykopal, Jan}, title = {{Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?}}, booktitle = {Proceedings of the 27th International Conference on Artificial Intelligence in Education}, series = {AIED '26}, location = {Seoul, Korea}, publisher = {Springer}, month = {06}, year = {2026}, numpages = {15}, } Versioning: v. 1.0.0: Data from 23 teams (76 students) in 5 different TTXs. For details regarding the data context, see the paper "Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?". Contact: If you notice any issues or breaches of the license terms of this dataset, please contact Valdemar Švábenský using the email address listed in the paper "Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?".

Related Organizations
Keywords

tabletop exercises, Bloom, prediction, simulation-based learning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average