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This study investigates cybersecurity threats in financial organizations by developing an adaptive network model to mitigate attacks. Using the cyber kill chain framework, the performed simulations reveal the adaptive dynamics between attackers and defenders over time. In the first scenario, the attacker’s rapid learning leads to successful attacks and data breaches. In the second scenario, the organization’s superior learning results in effective defenses, with no data stolen. The findings underscore the importance of continuous learning and adaptive defense mechanisms in cybersecurity.

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An Adaptive Network Model to Analyse Cyber Security: Understanding Cyber Threats in Financial Institutions

  • 会议论文

  • 发表日期：

    2025年

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  • Wissal Mestour,
  • Niek Jan van den Hout,
  • Jan Treur,
  • Peter H. M. P. Roelofsma

摘要

This study investigates cybersecurity threats in financial organizations by developing an adaptive network model to mitigate attacks. Using the cyber kill chain framework, the performed simulations reveal the adaptive dynamics between attackers and defenders over time. In the first scenario, the attacker’s rapid learning leads to successful attacks and data breaches. In the second scenario, the organization’s superior learning results in effective defenses, with no data stolen. The findings underscore the importance of continuous learning and adaptive defense mechanisms in cybersecurity.