Research on Evaluation Techniques for Security Threat Levels of Critical Information Assets in Power Grids

With the increasing complexity of power grid information systems and the rapid pace of digital transformation, information security is crucial for maintaining grid stability. This paper proposes a risk assessment method that links hierarchical threats to assets, integrating big data and knowledge graph technologies. It develops a multi-layered security threat model tailored to key power grid assets, capable of identifying and quantifying risks at various network levels in a dynamic environment. This model provides more accurate support for security management and decision-making, reflecting both threat probabilities and potential impacts. It also adapts risk assessments based on different security measures, offering flexibility. The proposed approach is significant for enhancing the security of power grid information systems and offers valuable insights and technical support for future grid security protection.