Research on Security Detection and Data Analysis for Industrial Internet
Jun Lin, Lan Liu · 2019
Industrial Internet platform needs to solve a series of problems, such as access of multi-type industrial equipment, multi-source industrial data integration, massive data management and processing, industrial Internet security and so on. This paper builds industrial big data analysis algorithm library based on domain knowledge modeling and big data analysis of industrial data. Through the analysis of the behavior characteristics of industrial internet network traffic data, this paper studies the method of selecting traffic characteristics of events in the industrial Internet; establishes the propagation and evolution model of security events in the industrial Internet, and builds a traceability map of security event propagation; This study combines the characteristics of large data volume and centralized control of future industrial Internet to reduce the complexity of security event detection and analysis. It has reference value for industrial Internet controller to formulate node routing strategy.