网络安全知识图谱关键技术

Key Technologies of Cyber Security Knowledge Graph

【目的】复杂多变的网络攻击活动对网络安全工作带来了严峻挑战。将知识图谱引入网络安全领域,有助于刻画展现安全态势,支持安全决策和预警预测。【方法】本文综述了目前国内外知识图谱相关技术的研究进展及其在网络安全领域的应用现状。【结果】在此基础上,阐述了构建网络安全知识图谱的技术架构,定义了网络安全本体模型,采用深度学习的方法进行实体抽取和关系抽取,利用基于规则和基于知识表示学习的方法进行图谱推理,实现网络安全知识补全和分析挖掘。

[Objective]Complex and changeable network attack activities bring severe challenges to network security.Introducing the knowledge graph into the field of network security is helpful to security situation depiction,security decision-making support,and early warning prediction.[Methods]This paper summarizes the research progress of knowledge graph technology at home and abroad and its application in the field of network security.[Results]On this basis,this paper expounds the technical framework of constructing the network security knowledge graph,defines the network security ontology model,uses the method of deep learning to extract entities and relations,uses rule-based and knowledge-based representation methods to carry out graph reasoning,and achieves the network security knowledge complement and analysis mining.