信息安全研究2026，Vol.12Issue(1)：16-23,8.DOI:10.12379/j.issn.2096-1057.2026.01.02
基于大语言模型的网络攻击检测技术研究进展
Research Progress on Detection Technologies for Network Attack Based on Large Language Model
Chen Shiwu 1Jin Gang 1Wang Wei 1Yang Yu1
作者信息
- 1. Beijing Topsec Network Security Technology Co.,Ltd.,Beijing 100193
- 折叠
摘要
Abstract
Large language model(LLM),with its powerful feature learning ability,the ability to recognize complex patterns,and generalization ability,has paved the way for innovative and powerful methods in network attack detection.Firstly,this paper elaborates on the technical advantages of LLM in network attack detection and proposes a corresponding technical framework.Then,drawing on existing literature,the application status of LLM in network attack detection is reviewed from three aspects:processing original security data,extracting threat features,correlation analysis,and identifying threats in the target environment.Furthermore,the problems and challenges associated with network threat detection using LLM are analyzed.Lastly,the paper outlines the future research directions for network attack detection technology leveraging LLM.This paper aims to provide references for the further development of network attack detection technology based on LLM in the field of network security.关键词
大语言模型/网络流量分析/威胁特征提取/网络攻击检测/关联分析Key words
large language model/network traffic analysis/threat feature extraction/network attack detection/correlation analysis分类
信息技术与安全科学引用本文复制引用
Chen Shiwu,Jin Gang,Wang Wei,Yang Yu..基于大语言模型的网络攻击检测技术研究进展[J].信息安全研究,2026,12(1):16-23,8.
