Research Article

Network Intrusion Detection Based on Sparse Autoencoder and IGA-BP Network

Table 7

The comparison result of Te (s).

MethodsG1G2G3G4G5

BPNN [31]27.528.7127.1228.726.98
PCA-PSO-BP [8]12.6113.5213.1212.5713.44
PCA-ANN [6]16.5217.0716.1317.5318.32
KPCA-SVM [9]11.2412.111.4812.4611.37
RNN [32]12.6313.6212.2313.2112.51
DBN [33]11.3412.0111.4211.5611.67
CNN-WDLSTM [34]9.327.656.734.225.72
Proposed3.313.263.782.212.97