Research Article

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

Table 8

The accuracy result of various intrusion types (%).

MethodsNormalDoSProbeR2LU2R

BPNN [31]96.2497.5191.1823.2264.28
PCA-PSO-BP [8]97.2198.5292.1426.5265.44
PCA-ANN [6]96.5297.0791.1327.6368.63
KPCA-SVM [9]98.5698.5193.1126.7271.28
RNN [32]98.7398.6993.2628.7173.51
DBN [33]99.0398.7194.2232.5675.97
CNN-WDLSTM [34]99.1298.9799.1054.2578.64
Proposed99.5199.2799.3861.2181.94