基于深度学习的网络入侵检测优势及应用研究

Research on the Advantages and Applications of Network Intrusion Detection Based on Deep Learning

由于网络入侵事件的频繁发生,人们对于网络安全日益重视,文章重点探讨了网络入侵检测研究。首先介绍了深度学习的基础理论及技术优势,并引出了有监督及无监督的网络入侵检测方法,介绍了网络入侵检测系统的概念和基础理论,详细阐述了网络入侵检测应用,主要包括异常检测、误用检测和混合检测。

With the increasing attention to network security and the frequent occurrence of network intrusion events,this paper focuses on the research of network intrusion detection.Firstly,the basic theory and technical advantages of deep learning are introduced,and supervised and unsupervised network intrusion detection methods are induced.The concept and basic theory of network intrusion detection system are introduced,and network intrusion detection applications,mainly including anomaly detection,misuse detection and hybrid detection,are elaborated.