Supplementary Materials: Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering

This repository contains supplementary materials for the following journal paper:

Valdemar Švábenský, Jan Vykopal, Pavel Čeleda, Kristián Tkáčik, Daniel Popovič.
Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering.
In Springer Education and Information Technologies. 2022.
https://doi.org/10.1007/s10639-022-10954-4

Preprint available at: https://arxiv.org/abs/2307.10260

How to cite

If you use or build upon the materials, please use the BibTeX entry below to cite the original paper (not only this web link).

@article{Svabensky2022student,
    author    = {\v{S}v\'{a}bensk\'{y}, Valdemar and Vykopal, Jan and \v{C}eleda, Pavel and Tk\'{a}\v{c}ik, Kristi\'{a}n and Popovi\v{c}, Daniel},
    title     = {{Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering}},
    journal   = {Education and Information Technologies},
    publisher = {Springer},
    volume    = {27},
    year      = {2022},
    issn      = {1360-2357},
    url       = {https://doi.org/10.1007/s10639-022-10954-4},
    doi       = {10.1007/s10639-022-10954-4},
}

Attached content

The attached ZIP archive contains two folders: `pattern_mining` and `clustering`. Each contains the developed software, full results described in the paper, and the detailed readme.

The dataset used as input for the software is: https://zenodo.org/record/5517479

To run the software, we recommend to download the dataset linked above, unzip the archive, and use it as the input for the pattern mining or clustering Python scripts.