Application of Knowledge Graph in Financial Information Security Strategy

Application of Knowledge Graph in Financial Information Security Strategy

연구 분야: Safety

학회: ICCSIE '23: Proceedings of the 8th International Conference on Cyber Security and Information Engineering

It is very important to utilize various financial security data resources for intelligent data processing and analysis, which can improve risk assessment, analysis, and early warning capabilities. This paper takes the knowledge graph as the core to study the application of the enhanced representation of the knowledge graph in financial information security risk control, which can give play to its advantages of knowledge integration, organizing the scattered and distributed multi-source heterogeneous security data, providing data analysis and knowledge reasoning support for threat modeling, risk analysis, attack reasoning, etc. in the network security, and thus providing a basis knowledge for screening potential information security risks. The establishment of knowledge graph enhanced by knowledge representation and reasoning has significantly improved the Identification efficiency of financial risk information, as well as the accuracy and integrity of the results of the strategy scheme, thus reducing the workload of manual screening and integration of information, and verifying the effectiveness of the financial information risk knowledge graph in this paper.