This paper presents a novel approach to developing an innovative prompt tree structure for cybersecurity education and training. It aims to address the challenges of accessibility and technical complexity within the field. The proposed framework utilizes customizable prompts and recipe-style interactions with Large Language Models (LLMs) to guide users in addressing cybersecurity issues. This framework is inspired by the popular fishbone diagram and utilizes credible cybersecurity frameworks such as OWASP and NVD. The system is designed to empower individuals, regardless of their expertise, to effectively understand and implement cybersecurity measures.

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Accessible Cybersecurity Education Using Prompt Tree

  • Pavan Subhash Chandrabose Nara,
  • Reshmi Mitra,
  • Indranil Roy,
  • T. Robin Cole III

摘要

This paper presents a novel approach to developing an innovative prompt tree structure for cybersecurity education and training. It aims to address the challenges of accessibility and technical complexity within the field. The proposed framework utilizes customizable prompts and recipe-style interactions with Large Language Models (LLMs) to guide users in addressing cybersecurity issues. This framework is inspired by the popular fishbone diagram and utilizes credible cybersecurity frameworks such as OWASP and NVD. The system is designed to empower individuals, regardless of their expertise, to effectively understand and implement cybersecurity measures.