Research on Network Intrusion Detection Technology Based on Artificial Intelligence

Abstract

As network intrusion becomes more and more complicated and network characteristics become more and more diverse, the
traditional network intrusion detection technology has some problems such as high false alarm rate, poor adaptability and low detection
rate. The article provides an in-depth analysis of network intrusion detection techniques based on artificial intelligence to better solve
these problems. In recent years, we have been witnessing great progress in image recognition, speech recognition, and natural language
processing. The powerful advantage of artificial intelligence in processing large-scale and complex data provides new ideas for the
processing of multi-attribute intrusion data. The introduction of AI technology in network intrusion detection can effectively improve
the detection accuracy and reduce the false alarm rate and omission rate. Based on this, the article analyses the artificial intelligence
network intrusion detection technology and discusses the network security management based on artificial intelligence for the reference
of related personnel.