A Security Defect Diagnosis Method of Wireless Network based on Modal Symmetry Algorithm

Abstract

In order to enhance the security of wireless networks and enhance the ability of data acquisition, processing and transmission, the security defects of wireless networks are diagnosed based on the modal symmetry algorithm. According to the amplitude of the defective signals collected by wireless network sensors, the average value of the signals collected by the centrosymmetric sensors is linearly subtracted, and the asymmetric modal information and the asymmetric modal amplitude of the axial position of wireless networks are obtained. On the basis of the original defect vibration signal graded by variational mode, several eigenmode components are obtained, and then the ranking entropy of each modal component is calculated. The ranking entropy is input as eigenvector to support vector machine classifier to complete the classification and recognition of wireless network security defects. The experimental results show that this method can accurately diagnose the security defects of wireless networks in different locations. The more complex the wireless network is, the higher the accuracy of the diagnosis results is and the shorter the time consuming results are. After the defect diagnosis, the wireless network data acquisition, data processing and transmission capabilities have been enhanced.