摘要
随着信息化的发展,网络上每天会产生大量的网络安全开源情报。然而,这些网络开源情报大多数都是多源异构的文本数据,并不能直接分析使用。因此,引入知识图谱的相关技术对其进行归纳整理,实现知识的深层次语义挖掘和智能推理分析极为重要。文章首先给出了网络安全情报知识图谱的构建过程,然后介绍网络安全知识图谱的关键技术以及国内外研究现状,包括信息抽取和知识推理,最后对知识图谱在网络安全领域中应用面临的挑战进行总结,并给出未来可能的工作方向。
With the development of informatization,a large amount of cyber security information is generated online every day.However,the majority of security intelligence consists of multi-source and heterogeneous text data that are challenging to directly analyze and apply.Therefore,the introduction of a knowledge graph assumes paramount significance in order to facilitate profound semantic knowledge mining and enable intelligent reasoning analysis.On this basis,this paper first described how the cybersecurity knowledge graph was built.Then,it outlined the core technologies of the knowledge graph and related research work,including information extraction and knowledge reasoning.Finally,the challenges of building a cybersecurity knowledge graph were discussed,and some directions for further research were suggested.
作者
王晓狄
黄诚
刘嘉勇
WANG Xiaodi;HUANG Cheng;LIU Jiayong(School of Cyber Science and Engineering,Sichuan University,Chengdu 610207,China)
出处
《信息网络安全》
CSCD
北大核心
2023年第6期11-21,共11页
Netinfo Security
基金
国家自然科学基金[61902265]
国家重点研发计划[2019QY1405
2021YFB3100500]。
关键词
网络安全
开源情报
知识图谱
信息抽取
知识推理
cyber security
open-source intelligence
knowledge graph
information extraction
knowledge reasoning
