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This project investigates cyber risk management during Distributed Denial of Service (DDoS) attacks in European industries that impact many critical sectors such as finance, telecommunications, and technology. Using adaptive network modeling and MATLAB, a model was developed to simulate the interaction between human decision-making and AI coaching under stress. The AI Coach, equipped with complete situational awareness, monitors employee behavior and intervenes when errors are detected. Through What-If analysis and risk assessment, it was discovered that factors such as detection speed and error influence financial loss outcomes. The simulation results demonstrate that AI-supported intervention can significantly reduce system vulnerability by correcting human misjudgments in real-time.

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Computational Analysis of Cyber Risk Management by AI Coaching of Network DDoS Attack Activity in European Industries

  • 会议论文

  • 发表日期：

    2026年

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  • Aleksander Szymczak,
  • Jan Treur,
  • Peter H. M. P. Roelofsma

摘要

This project investigates cyber risk management during Distributed Denial of Service (DDoS) attacks in European industries that impact many critical sectors such as finance, telecommunications, and technology. Using adaptive network modeling and MATLAB, a model was developed to simulate the interaction between human decision-making and AI coaching under stress. The AI Coach, equipped with complete situational awareness, monitors employee behavior and intervenes when errors are detected. Through What-If analysis and risk assessment, it was discovered that factors such as detection speed and error influence financial loss outcomes. The simulation results demonstrate that AI-supported intervention can significantly reduce system vulnerability by correcting human misjudgments in real-time.