Review on the Application of Knowledge Graph in Cyber Security Assessment
Kai Zhang, Jingju Liu
Abstract
Abstract The development of artificial intelligence technology has advanced by leaps and bounds and made significant progress in many areas. Many researchers have begun to apply artificial intelligence technology to the cyber security domain. Knowledge graphs can describe the concepts, entities and their relationships in the objective world in a structured way. Applying knowledge graph to the cyber security domain can organize, manage, and utilize massive amounts of information in cyberspace in a better way. In this paper, the common cyber security assessment models and their shortcomings is summarized, the research progress of ontology-based knowledge representation is discussed, thus leading to a conclusion that ontology-based knowledge representation can completely and accurately represent the complex knowledge of heterogeneous systems in the cyber security domain. Then we introduce the concept of knowledge graph, summarize the application progress of knowledge graphs in the cyber security domain, and discuss directions of future research.