Skip to main content

Table 7 Experimental analysis performance of different NIDS algorithms

From: Fusion of transformer and ML-CNN-BiLSTM for network intrusion detection

Model

Accuracy

Precision

Recall

F1-score

AETMLCBAE

0.921

0.865

0.896

0.884

Q-learning

0.895

0.862

0.847

0.841

TCNN

0.903

0.853

0.866

0.868

MCRNN

0.911

0.855

0.887

0.869