Research Article

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

Table 6

The comparison result of FA (%).

MethodsG1G2G3G4G5

BPNN [31]6.25.75.214.875.05
PCA-PSO-BP [8]5.65.55.125.275.2
PCA-ANN [6]9.358.78.98.578.35
KPCA-SVM [9]8.17.98.27.456.8
RNN [32]2.41.61.711.651.53
DBN [33]3.313.13.222.92.85
CNN-WDLSTM [34]2.71.821.531.441.19
Proposed1.030.981.010.870.75