Network Intrusion Detection Method Based on FCWGAN and BiLSTM

Table 13

Comparison of multiclassification on NSL-KDD dataset.

Algorithm	Evaluation metrics
	Accuracy	Precision	Recall	F1-score	Time (s)
CNN-BiLSTM	99.22 ± 0.31	99.18 ± 0.29	99.14 ± 0.24	99.15 ± 0.26	6
SSAE-LSTM	97.63 ± 0.34	97.91 ± 0.33	97.21 ± 0.28	97.56 ± 0.30	4
CWGAN-DNN	98.13 ± 0.26	99.03 ± 0.30	97.91 ± 0.25	98.46 ± 0.27	8
AE-CGAN-RF	98.53 ± 0.27	98.67 ± 0.28	98.31 ± 0.23	98.49 ± 0.25	7
Model in this paper	99.57 ± 0.21	99.55 ± 0.20	99.47 ± 0.17	99.51 ± 0.18	2