结合嵌入技术基于关键字的最高关联搜索方法
KEYWORDS-BASED HIGHEST CORRELATION SEARCH METHOD COMBINED WITH EMBEDDED TECHNOLOGY
陈博超1
作者信息
- 1. 上海大学计算机工程与科学学院 上海 200444
- 折叠
摘要
主要围绕网络安全知识图谱应用,结合嵌入表示技术提出一种基于关键字的最高关联搜索方法.利用公开的网络安全漏洞数据构建以漏洞为核心网络安全知识图谱,采用嵌入表示技术和大型图的Steiner树算法设计基于关键字的最高关联搜索方法;结合网络安全特征提出引入关系权重的Trans-W系列嵌入表示改进算法,同时基于Sketch提出适合大型图的SketchTrim算法.实验结果表明准确率有显著的提升.
Abstract
This paper mainly focuses on the application of network security knowledge graph,combined with embedded representation technology,and proposes the highest relevant search method based on keywords.The network security knowledge graph with vulnerability as the core was constructed by using the open network security vulnerability data.On this basis,the highest relevant search method based on keywords was designed by combining embedded representation technology and Steiner tree algorithm of large graph.The improved Trans-W series embedded representation algorithm with relation weight was proposed based on the network security features.At the same time,SketchTrim algorithm suitable for large graphs is proposed based on Sketch.Experimental results show that the accuracy is significantly improved.
关键词
网络安全/知识图谱/关键字搜索/知识表示学习Key words
Cyber security/Knowledge graph/Keyword search/Knowledge representation learning引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据