Mutual Information Implementation for Anomaly Data Intrusion Detection in Industrial Substation Operation and Maintenance System
Industrial substation operation and maintenance system is often subject to different types of data intrusion in the process of operation,which seriously affects the safety of the substation and thus causes great economic losses.In order to further improve the safety of the operation and maintenance system,a mutual information technology oriented method for detecting abnormal data intrusion in industrial substation operation and maintenance system is designed,and test analyses are carried out to prove the accuracy of the method in this paper.The research results show that compared with the PCA algorithm,the mutual information(MI)algorithm obtains higher feature extraction accuracy,and the detection rate is also significantly improved,reducing the false alarm rate.The distributed model exhibits shorter intrusion detection time when the data volume increases rapidly.The study has certain practical guidance for improving the stability of abnormal data intrusion detection in operation and maintenance systems,but the algorithm exists in small probability attack types leading to zero detection rate results,and further enhancement is expected in the follow-up.
industrial substationoperation and maintenance systemmutual information methodintrusion detection
万方数据
维普
