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<p>The aim of this work is to provide a systematic literature review of techniques for taxonomy generation across the cybersecurity domain. Cybersecurity taxonomies can be classified into manual and dynamic, each one of which focuses on different characteristics and tails different goals. Under this premise, we investigate the current state of the art in both categories with respect to their characteristics, applications and methods. To this end, we perform a systematic literature review in accordance with an extensive analysis of the tremendous need for dynamic taxonomies in the cybersecurity landscape. This analysis provides key insights into the advantages and limitations of both techniques, and it discusses the datasets which are most commonly used to generate cybersecurity taxonomies.</p>

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A comprehensive survey of manual and dynamic approaches for cybersecurity taxonomy generation

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月8日

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  • Arnolnt Spyros,
  • Anna Kougioumtzidou,
  • Angelos Papoutsis,
  • Eleni Darra,
  • Dimitrios Kavallieros,
  • Athanasios Tziouvaras,
  • Theodora Tsikrika,
  • Stefanos Vrochidis,
  • Ioannis Kompatsiaris

摘要

The aim of this work is to provide a systematic literature review of techniques for taxonomy generation across the cybersecurity domain. Cybersecurity taxonomies can be classified into manual and dynamic, each one of which focuses on different characteristics and tails different goals. Under this premise, we investigate the current state of the art in both categories with respect to their characteristics, applications and methods. To this end, we perform a systematic literature review in accordance with an extensive analysis of the tremendous need for dynamic taxonomies in the cybersecurity landscape. This analysis provides key insights into the advantages and limitations of both techniques, and it discusses the datasets which are most commonly used to generate cybersecurity taxonomies.