Research on application of knowledge graph in industrial control system security situation awareness and decision-making: A survey

Abstract

Knowledge graph as a powerful tool for knowledge organization and representation, can integrate scattered data into a unified knowledge network, enabling knowledge association and knowledge reasoning, thus improving the accuracy of security situation awareness. In the context of industrial control system security decision-making, knowledge graphs can provide comprehensive knowledge support, assisting decision-makers in making intelligent decisions. This paper reviews the current research status of knowledge graphs in the field of industrial control system security situation awareness and decision-making, covering data-driven techniques, rule-based methods, and knowledge graph-based approaches. Existing knowledge graph technologies and their practical applications in industrial control system security situation awareness and decision-making are discussed. Finally, a series of challenges in the application of knowledge graphs in industrial control system security situation awareness and decision are summarized, such as data dispersion, correlation and information security, and the future prospects.