Journal of Big Data

Table 4 The frequency distribution of attack categories of the CIC-IDS2017 dataset

From: Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

Attack categories	Count	% (percentage)
BENIGN	22,73,097	80.3
DoS Hulk	2,31,073	8.16
PortScan	1,58,930	5.61
DDoS	1,28,027	4.52
DoS GoldenEye	10,293	0.36
FTP-Patator	7938	0.28
SSH-Patator	5897	0.21
DoS slowloris	5796	0.2
DoS Slowhttptest	5499	0.19
Web Attack	2180	0.08
Bot	1966	0.07
Infiltration	36	0.01
Heartbleed	11	0.01
Total	28,30,743	100

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