基于知识图谱的网络安全漏洞类型自动化关联分析方法
Automated Association Analysis Method of Network Security Vulnerability Type Based on Knowledge Graph
王瑞敏1
作者信息
- 1. 河北工业职业技术大学,河北石家庄 050091
- 折叠
摘要
常规的网络安全漏洞类型自动化关联分析方法主要使用EVM计算存储读取漏洞数据,易受智能合约编程语言变化影响,导致关联分析性能较差,因此,需要基于知识图谱设计一种全新的网络安全漏洞类型自动化关联分析方法.该方法利用知识图谱自动匹配网络安全漏洞特征,实现了网络安全漏洞类型自动化关联分析.结果表明,所设计方法的分析效果较好、可靠性较高,并具备一定的应用价值.
Abstract
The conventional automated association analysis method for network security vulnerability types mainly uses EVM to calculate,store,and read vulnerability data,which is easily affected by changes in the programming language of smart contracts,resulting in poor performance of association analysis.Therefore,it is necessary to design a new automated association analysis method for network security vulnerability types based on knowledge graphs.This method utilizes knowledge graphs to automatically match the characteristics of network security vulnerabilities,achieving automated correlation analysis of network security vulnerability types.The results show that the designed method has good analytical performance,high reliability,and certain application value.
关键词
网络安全/关联分析/知识图谱/自动化技术Key words
network security/correlation analysis/knowledge graph/automation technology引用本文复制引用
出版年
2024
NETL
NSTL
万方数据