A Network Security Approach based on Machine Learning

Abstract

Network security is the main content of network management, but in the process of network security management, it is vulnerable to hacker intrusion and communication interference, which reduces the level of network security, and causes the loss of crucial communication data and the wrong results of security assessment. Based on this, this paper proposes a machine learning method to machine study network communication data, enhance network communication data, and shorten network communication time. The network communication data is then analyzed by messages. Finally, the machine learning method is used to judge the security of communication data and output the final security assessment results. The results show that the machine learning method can accurately carry out network security analysis, reduce the interference of hackers and communications, and the security level is greater than 9 to 5%, which is better than the online security monitoring method. Therefore, the machine learning method can meet network security requirements and is suitable for network management.