A research method of industrial Internet security vulnerabilities based on knowledge graph
Tao Yaodong,，Jia Xintong,，Wu Yunkun
（1.Beijing Jiaotong University,Beijing 100044,China; 2.Industrial Control System Security National Local Joint Engineering Laboratory,Beijing 100015,China; 3.Qi An Xin Technology Group Co.,Ltd.,Beijing 100015,China）
Abstract： The problem of industrial Internet security is becoming more and more prominent.The key to solve the problem is to deeply study the knowledge base of industrial internet security vulnerabilities.In order to solve the problems of low value of exploiting vulnerable data,insufficient means of association analysis and insufficient degree of visualization,based on the data of industrial Internet security vulnerability database,a method of constructing knowledge graph of industrial Internet security vulnerabilities is put forward.Knowledge graph is imported into Neo4j graph database by means of original data information extraction,association analysis and data storage,so as to achieve efficient storage and query.From the time dimension,spatial dimension and correlation dimension,the knowledge graph is analyzed,and the query results are visualized.The results show that the proposed method can effectively and intuitively show the attributes and relationship of vulnerability data in industrial Internet,and realize the deep mining of the intrinsic value of vulnerability data.
Key words : industrial Internet;vulnerability database;knowledge graph;correlation
