Cybersecurity Training

Cybersecurity training research focuses on improving the effectiveness and efficiency of learning through data-driven approaches. Current efforts leverage machine learning algorithms, such as decision trees, and data mining techniques like pattern mining and clustering, to analyze student interactions within simulated environments, identifying struggling learners and tailoring instruction. This allows for personalized feedback and improved training design, ultimately enhancing cybersecurity skills and mitigating risks through more effective training programs. The development and sharing of open-source tools and datasets are facilitating broader adoption and collaborative advancement in the field.