Research on Network Intrusion Detection Method Based on Deep Learning Algorithm

Abstract

Information security is very important in enterprises. Under the tide of modern network informationization, especially intrusion detection is facing great challenges. The rise of technologies such as big data and artificial intelligence, on the one hand, helps to strengthen information security, on the other hand, it also brings great challenges to information security. Everything has two sides, and the Internet is no exception. While the network has brought us a richer and faster life, the problem of network security has become increasingly prominent, and network security risks pose new challenges to the fields of politics, economy, culture, national defense, ecology and society. The active defense strategy using intrusion detection technology can actively discover attacks when they occur or attempt to attack, realize real-Time response, and provide real-Time protection for network systems. This paper starts from the field of intrusion detection and combines deep learning technology to design an efficient and intelligent intrusion detection model which can be used in the field of network intrusion detection.