基于告警日志的智能电网重点事件检测模型

lert logs in the smart grid come from a variety of security devices and hosts, which are not easy to conduct further analysis after aggregation. In this paper, a critical event detection model based on statistical analysis is proposed, which takes advantage of the fact that past security events have abnormal activities in the process of explosion. The model makes full use of the log information in the smart grid monitoring system (SGMS), combines the statistical analysis method with the security event logs. And a critical event detection algorithm is designed to detect the security event sequence to find the critical events. The operators can pay attention to the critical events and deal with them in time. The results from real data in China Smart Grid show that the model can effectively detect critical events and improve the accuracy of device alerts.