Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training

Area of Science:

• Cybersecurity Education
• Information Visualization
• Human-Computer Interaction

Background:

• Hands-on training is crucial for developing practical cybersecurity skills.
• Existing training methods may not fully leverage data visualization for skill enhancement.
• Effective training design requires robust methods for sensemaking and evaluation.

Purpose of the Study:

• To apply visual analytics principles to the design, execution, and evaluation of cybersecurity training.
• To propose a conceptual model that integrates visual analytics into the training lifecycle.
• To provide a framework for developing new visualization tools for cybersecurity training.

Main Methods:

• Developing a conceptual model based on extensive experience in cybersecurity training.
• Classifying visualizations relevant to different phases of the training lifecycle.
• Applying the model to practical examples from cybersecurity training programs.

Main Results:

• A conceptual model integrating visual analytics into cybersecurity training was developed.
• The model offers a classification of visualizations to support training activities.
• Demonstrated applicability across different types of cybersecurity training programs.

Conclusions:

• Visual analytics can significantly improve the design and effectiveness of cybersecurity training.
• The proposed model serves as a foundation for creating advanced visualization tools.
• This framework aids in enhancing participant skill acquisition and sensemaking during training.