Security Risk Assessment Approach for Distribution Network Cyber Physical Systems Considering Cyber Attack...

Area of Science:

• Electrical Engineering and Computer Science
• Cybersecurity
• Power Systems

Background:

• Distribution networks are evolving into cyber-physical systems (CPS), integrating power and cyber systems.
• This integration increases exposure to cybersecurity risks and potential cyber-attacks.
• Existing risk assessment methods may not fully capture the dynamic nature of these complex systems.

Purpose of the Study:

• To propose a quantitative method for assessing the security risk of distribution network CPS.
• To address cyber-attack vulnerabilities within the integrated power and cyber infrastructure.
• To provide a foundation for developing proactive defense strategies against cyber threats.

Main Methods:

• Construction of a dynamic Bayesian network model based on distribution network structure and Common Vulnerability Scoring System (CVSS).
• Integration of Fuzzy Analytic Hierarchy Process (FAHP) and entropy weight method to model attacker selectivity.
• Incorporation of system defense resources to calculate target node risk probabilities.
• Quantitative risk assessment using node loads and risk rates to determine overall CPS risk levels.

Main Results:

• A novel dynamic Bayesian network approach for quantitative security risk assessment in distribution network CPS.
• Accurate modeling of attacker behavior and vulnerability impact considering defense resources.
• Determination of risk levels for distribution network CPS, enabling targeted defense strategy development.

Conclusions:

• The proposed method effectively quantifies security risks in distribution network CPS.
• It provides actionable insights for enhancing cybersecurity and mitigating the impact of cyber-attacks.
• This approach supports proactive defense planning to ensure the resilience of modern power systems.