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Cyberattacks have evolved into coordinated strategies where multiple techniques are combined to amplify their impact on digital infrastructures. However, current approaches have limitations in representing their interdependencies, making early detection and risk management difficult. This work highlights the need to move towards relational taxonomies and ontologies that model the progression of attacks and their interconnections. Therefore, a relational taxonomy of cyberattacks with eight main categories and twenty key relationships is proposed, providing an adaptable framework to analyze the dynamics of threats. Its open structure allows integration of new tactics, improving risk anticipation and strengthening cybersecurity in critical and corporate environments.

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Relational Taxonomy of Cyberattacks: A Model for Threat Classification and Connection in Digital Environments

  • 会议论文

  • 发表日期：

    2026年

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  • Mikel Ferrer Oliva,
  • José Amelio Medina Merodio,
  • José Javier Martínez Herraiz,
  • Carlos Cilleruelo Rodriguez

摘要

Cyberattacks have evolved into coordinated strategies where multiple techniques are combined to amplify their impact on digital infrastructures. However, current approaches have limitations in representing their interdependencies, making early detection and risk management difficult. This work highlights the need to move towards relational taxonomies and ontologies that model the progression of attacks and their interconnections. Therefore, a relational taxonomy of cyberattacks with eight main categories and twenty key relationships is proposed, providing an adaptable framework to analyze the dynamics of threats. Its open structure allows integration of new tactics, improving risk anticipation and strengthening cybersecurity in critical and corporate environments.