基于大语言模型的网络攻击检测技术研究进展OA

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.