A Transformer-based network intrusion detection approach for cloud security

Journal of Cloud Computing

Advances, Systems and Applications

Table 4 Comparison of intrusion detection capability with CNN-LSTM model

	Indicators	Benign	Botnet	Infilteration	DDoS	Web Attacks	Brute-force	DoS
Our	Accuracy	0.9357	0.9998	0.9879	0.9477	0.9988	0.9997	0.9982
	Precision	0.9465	0.9971	0.4427	0.6441	0.8557	0.1724	0.9929
	Recall	0.9833	0.9936	0.1178	0.3944	0.996	0.3698	0.8916
	F1-score	0.9645	0.9954	0.1323	0.4892	0.9205	0.1211	0.9395
CNN-LSTM	Accuracy	0.9457	0.9997	0.9476	0.9985	0.9988	0.9992	0.9993
	Precision	0.9074	0.9952	0.6373	0.9953	0.0165	0.9837	0.9912
	Recall	0.9816	0.9986	0.1747	0.9986	0.7143	0.9944	0.9996
	F1-score	0.9452	0.9992	0.2722	0.9975	0.0323	0.989	0.9953