Research on Railway Data Security Protection Based on Data Grading Rules

Nowadays, a large amount of heterogeneous data from multiple sources in the railway industry are frequently exchanged internally and externally. According to business requirements, data should be shared in a safe and orderly manner through classification and grading management of data. However, under complex business scenarios, there are still security weaknesses in the process of data flow, and there is a lack of targeted security protection recommendations for the life-cycle of railway data. In order to solve this problem, we designed a data security knowledge graph based protection technology searching method. The searching method designs: i) a knowledge reasoning scheme for data grading protection recommendations based on railway data grading rules, ii) a converged knowledge graph, and iii) combination of the graph search method and feature similarity algorithm to achieve the directed security protection management of data assets with different life cycle stages at different security levels under railway special business scenarios. Finally, We chose the railway EMU maintenance business scenario for example analysis to verify the reliability of the method.