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This paper presents a computational analysis of the effectiveness of the intelligence cycle to enhance the cybersecurity defences of a large company such as ASML which is targeted by sophisticated cyber threats. Each intelligence cycle’s phase’s efficiency is crucial for timely and accurate threat detection, processing, and response. A What-If analysis and risk assessment highlight the significant impact of data collection effectiveness, data processing speed, and intelligence analysis accuracy on the overall performance of the intelligence cycle.

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Computational Analysis of the Effectiveness of the Intelligence Cycle for Organizational Cyber Risk Management

  • 会议论文

  • 发表日期：

    2025年

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  • Euan Jeffery,
  • Uwais Malsagov,
  • Niels Tijssen,
  • Andreas Zeisig,
  • Charlotte C. A. Hoffmans,
  • Jan Treur,
  • Peter H. M. P. Roelofsma

摘要

This paper presents a computational analysis of the effectiveness of the intelligence cycle to enhance the cybersecurity defences of a large company such as ASML which is targeted by sophisticated cyber threats. Each intelligence cycle’s phase’s efficiency is crucial for timely and accurate threat detection, processing, and response. A What-If analysis and risk assessment highlight the significant impact of data collection effectiveness, data processing speed, and intelligence analysis accuracy on the overall performance of the intelligence cycle.