Open AccessReview on the Application of Knowledge Graph in Cyber Security Assessment
Author(s) -
Kai Zhang,
Jingju Liu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/768/5/052103
Subject(s) - computer science , cyberspace , knowledge representation and reasoning , ontology , leaps , knowledge graph , domain knowledge , domain (mathematical analysis) , representation (politics) , cyber threats , graph , data science , knowledge management , computer security , the internet , artificial intelligence , theoretical computer science , world wide web , mathematics , epistemology , mathematical analysis , philosophy , politics , political science , financial economics , law , economics
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.