A Highly Adaptable Power Monitoring Host Operation Instruction Security Adaptive Detection Model
The hidden abnormal points of operation instruction security adaptive detection model host affect the security of the operation instructions of the power monitoring host.In order to improve the security detection effect of the instructions,a highly adaptable detection model method of the operation instructions security of the power monitoring host is proposed.Ac-cording to the analysis results of the host operation instruction characteristics,the method uses the established multimode wire-less data acquisition equipment to collect the power monitoring host operation instruction data.The principal components analy-sis(PCA)method is used to extract the characteristics of the collected instruction data,and on this basis,the dimension reduc-tion processing is implemented for the instruction data,so as to reduce the complexity of the security detection of the operation instructions of the power monitoring host.Combined with the density-based spatial clustering of applications with noise(DB-SCAN)algorithm,the extracted features are clustered,and outliers are mined.Based on the mining results,an adaptive detec-tion model is constructed.The model is used to detect the outliers mined,and the adaptive detection of the operation instruction security of the power monitoring host with high adaptability is realized.The experimental results show that the high reliability of this method is verified through the detection rate comparison test and detection delay comparison test.
万方数据
维普
