Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training

TL;DR

This paper introduces an open-source toolset for logging and analyzing student command-line activity in cybersecurity training, enabling real-time insights and improving educational effectiveness.

Contribution

It presents a configurable, metadata-enriched command logging system that seamlessly integrates into diverse teaching environments and facilitates automated data analysis.

Findings

Collected 4439 commands from 50 students over four sessions.

Revealed student solution patterns, tool usage, and misconceptions.

Demonstrated the toolset's effectiveness in real educational settings.

Abstract

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 added value is threefold. 1) Its configuration is automated so that it can be easily used in classes on different topics. 2) It collects metadata about the command execution, such as a timestamp, hostname, and IP address. 3) Data are instantly forwarded to central storage in a unified, semi-structured format. This enables automated processing, 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 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.