Research on Data Interaction Behavior Security Situational Awareness of Power monitoring system

In order to solve the problems of low accuracy of abnormal behavior detection and high false positive rate and false positive rate in the detection of traditional data interaction behavior, we propose a data interaction behavior security situation analysis model of power monitoring system. This model progresses sequentially from three aspects: data exchange behavior information collection method of power monitoring system, security situation analysis of important business data, and dynamic behavior security control of data interaction. Based on the time series model, the temporal correlation between the previous data and the current environment is established, and the anomalies are determined for the long-term operation law of the features for the data layer and the feature layer. For the decision-making layer, including sensitive data distribution and cyberspace, the effectiveness of abnormal behavior detection is improved through comparison with its own historical data and horizontal comparison of other data interactions.