Research on Network Intrusion Detection Based on Machine Learning
The intrusion detection system can monitor the network traffic,detect the unauthorized application and targeted attack tasks,monitor the characteristics of the intrusion behavior,analyze whether the invasion is malicious,and immediately start the defense mechanism once the intrusion behavior is found suspicious.Network intrusion detection technology can effectively make up for the lack of firewall,antivirus software and other network security devices or applications in the network security management,so the application in the core network is more and more widely used.This paper proposes a network intrusion detection technology based on machine learning.
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