New framework maps cybersecurity terms to CyBOK with human-in-the-loop

This paper introduces CyBOKClaw, a novel framework designed to assist in mapping cybersecurity keywords and phrases to the Cyber Security Body of Knowledge (CyBOK). The system functions as an interpretable, human-in-the-loop retrieval tool, generating top-k candidates for expert review rather than strict classification. It incorporates query normalization, term expansion, concept-level boosts, and domain-sensitive ranking to improve accuracy. Evaluation metrics, including an expert-guided usefulness score (ECA-5), demonstrate CyBOKClaw's effectiveness in providing practical CyBOK mapping utility. AI

影响 Provides a more accurate and practical method for mapping cybersecurity knowledge, potentially improving educational curricula and professional development.

排序理由 The cluster contains an academic paper detailing a new framework and its evaluation metrics. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

• Cyber Security Body of Knowledge (CyBOK)
• CyBOKClaw

• 论文
• 其他

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →