Published July 16, 2026 | Version 1.1.0

Dataset From Cybersecurity Tabletop Exercises in the INJECT Platform

  • 1. Masaryk University, Faculty of Informatics
  • 1. ROR icon Carnegie Mellon University
  • 2. Masaryk University, Faculty of Informatics

Description

Repository content:

Dataset from cybersecurity tabletop exercises (TTXs) conducted using the open-source INJECT Exercise Platform. For details, please see:

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 2 papers:

1.

Valdemar Švábenský, Jan Vykopal, Sukrit Leelaluk, Pavel Čeleda, Fumiya Okubo, and Atsushi Shimada.
Assessment in Team Problem-Solving Exercises in Computing Education
In Proceedings of the 56th IEEE Frontiers in Education Conference (FIE), 2026.
https://arxiv.org/pdf/2607.19209

2.

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://doi.org/10.1007/978-3-032-29760-0_47

@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 Nature},
    address   = {Cham, Switzerland},
    month     = {06},
    year      = {2026},
    pages     = {427-442},
    numpages  = {15},
    isbn      = {978-3-032-29760-0},
    url       = {https://doi.org/10.1007/978-3-032-29760-0_47},
    doi       = {10.1007/978-3-032-29760-0_47}, }

Versioning:

  • v. 1.1.0: Same dataset as in v. 1.0.0, just with added contextual information.
  • v. 1.0.0: Data from 23 teams (76 students) in 5 different TTXs. For details regarding the data context, see the papers:
    • Assessment in Team Problem-Solving Exercises in Computing Education
    • Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?

Contact:

If you notice any issues or breaches of this dataset's license terms, please contact Valdemar Švábenský at the email address listed in the paper "Assessment in Team Problem-Solving Exercises in Computing Education".

Files

INJECT-tabletop-exercise-dataset-v-1.1.0.zip

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Additional details

Related works

Is supplement to
Conference paper: 10.1007/978-3-032-29760-0_47 (DOI)

Funding

Ministry of the Interior
Intelligent Tools for Planning, Conducting, and Evaluating Tabletop Exercises VK01030007

Software

Programming language
YAML , JSON