Network Intrusion Detection with Nonsymmetric Deep Autoencoding Feature Extraction

Table 5

Experimental results of 11 attacks in the CIC-IDS2017 dataset.

Attack type	Precision (%)		Recall (%)		F1 (%)
	SNDAE	ANDAE	SNDAE	ANDAE	SNDAE	ANDAE
FTP-Patator	97.1	99.87	98.53	98.95	97.81	99.4
SSH-Patator	96.02	99.42	95.13	97.85	95.56	98.63
DoS	99.83	99.79	99.66	99.67	99.74	99.73
Heartbleed	0	0	0	0	0	0
Brute Force	91.81	99.31	91.58	96.67	91.64	97.97
XSS	97.24	99.47	87.77	92.85	92.21	96.04
Sqlinjection	0	0	0	0	0	0
Infiltration	0	83.33	0	33.33	0	47.43
Botnet	73.01	92.56	71.81	75.92	72.32	83.42
DDoS	99.97	99.96	99.89	99.93	99.93	99.95
Portscan	99.97	99.99	99.92	99.97	99.52	99.98

The bold values are the larger of the evaluation metrics of the two models.