Security Analysis of Measurement Automation System Based on Threat Intelligence

With the development of artificial intelligence, the network space is characterized with more features such as openness, heterogeneity, mobility, dynamics, security. In this diverse cyberspace, the security defense technology based on threat intelligence, is more suitable for advanced persistent threats compared with traditional security protection and plays an important role in the network security of measurement automation system. According to the characteristics of measurement automation system, this paper summarizes threat information platforms provided by information security government organizations and unit. And based on the risk impact factors existing in current measurement automation system, we comprehensively analyze its security problems. Finally, aims at the problem that current risk warning models do not consider warning storms and management costs when the network is much larger, we propose adding the priority evaluation of nodes into the model when it carries out correlation analysis. The proposed model improves execution efficiency and realizes the lightweight.