The Application of Machine Learning in Network Security Research

Abstract

In the era of rapid development of the Internet, cybersecurity issues have become more important. Traditional network security defense technologies and methods can only meet some needs, so it is necessary to keep up with the times and use emerging technologies and methods to cope with constantly changing network threats. Machine learning, as an emerging technology in the context of artificial intelligence, is widely applied in the field of cybersecurity. This article will explore the current application status and future development trends of machine learning in cybersecurity research, and analyze its role and challenges in network intrusion detection, malicious code recognition, threat intelligence analysis, and other areas.