Research on anomaly detection based on network data
Kai Zhao · 2023
With the rapid development of network technology, network-based applications are becoming more and more diversified, and network security issues are becoming more and more significant. It is an urgent task to study methods to protect system security. Log system, as an important part of information system, can record all behaviors generated by the system, and most of the security risks in the system can be found by analyzing log system. To achieve the purpose of improving the system security performance. As an active network security protection measure, anomaly detection technology can detect abnormal behaviors and respond in time to effectively prevent abnormal behaviors and reduce the risk of system destruction. In this paper, public offline logs are used as data sources, common anomaly detection algorithms are studied, and effective information is obtained from massive log data to perceive the situation of network security.