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@inproceedings{45167, author = {Švábenský, Valdemar and Vykopal, Jan and Tovarňák, Daniel and Čeleda, Pavel}, address = {New York, NY, USA}, booktitle = {2021 IEEE Frontiers in Education Conference (FIE)}, doi = {http://dx.doi.org/10.1109/FIE49875.2021.9637052}, keywords = {cybersecurity education; host-based monitoring; command-line history; Syslog; virtual machines; sandbox; educational data mining; learning analytics; learning technology}, howpublished = {elektronická verze "online"}, language = {eng}, location = {New York, NY, USA}, isbn = {978-1-6654-3851-3}, pages = {1-9}, publisher = {IEEE}, title = {Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training}, url = {https://www.youtube.com/watch?v=UGogfmVR6xw}, year = {2021} }
TY - JOUR ID - 45167 AU - Švábenský, Valdemar - Vykopal, Jan - Tovarňák, Daniel - Čeleda, Pavel PY - 2021 TI - Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training PB - IEEE CY - New York, NY, USA SN - 9781665438513 KW - cybersecurity education KW - host-based monitoring KW - command-line history KW - Syslog KW - virtual machines KW - sandbox KW - educational data mining KW - learning analytics KW - learning technology UR - https://www.youtube.com/watch?v=UGogfmVR6xw N2 - This Full Paper in the Innovative Practice category presents and evaluates a technical innovation for hands-on classes. When learning cybersecurity, operating systems, or networking, students perform practical tasks using a broad range of command-line tools. Collecting and analyzing data about the command usage can reveal valuable insights into how students progress and where they make mistakes. However, few learning environments support recording and inspecting command-line inputs, and setting up an efficient infrastructure for this purpose is challenging. To aid engineering and computing educators, we share the design and implementation of an open-source toolset for logging commands that students execute on Linux machines. Compared to basic solutions, such as shell history files, the toolset's novelty and added value are threefold. First, its configuration is automated so that it can be easily used in classes on different topics. Second, it collects metadata about the command execution, such as a timestamp, hostname, and IP address. Third, all data are instantly forwarded to central storage in a unified, semi-structured format. This enables automated processing of the data, both in real-time and post hoc, to enhance the instructors' understanding of student actions. The toolset works independently of the teaching content, the training network's topology, or the number of students working in parallel. We demonstrated the toolset’s value in two learning environments at four training sessions. Over two semesters, 50 students played educational cybersecurity games using a Linux command-line interface. Each training session lasted approximately two hours, during which we recorded 4439 shell commands. The semi-automated data analysis revealed different solution patterns, used tools, and misconceptions of students. Our insights from creating the toolset and applying it in teaching practice are relevant for instructors, researchers, and developers of learning environments. We provide the software and data resulting from this work so that others can use them in their hands-on classes. ER -
ŠVÁBENSKÝ, Valdemar, Jan VYKOPAL, Daniel TOVARŇÁK a Pavel ČELEDA. Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training. Online. In \textit{2021 IEEE Frontiers in Education Conference (FIE)}. New York, NY, USA: IEEE, 2021, s.~1-9. ISBN~978-1-6654-3851-3. Dostupné z: https://dx.doi.org/10.1109/FIE49875.2021.9637052.
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