Resampling imbalanced data for network intrusion detection datasets

Journal of Big Data

Table 43 Resampling of NB17-Philips

NB17-Philips		Number of cases for training model
Category	Label	Before resampling	RU	RO	RURO
Benign	0	122,776	40,816	122,776	40,816
Mirai_ack	1	63,730	40,816	63,730	40,816
Mirai_scan	2	72,661	40,816	72,661	40,816
Mirai_syn	3	82,508	40,816	82,508	40,816
Mirai_udp	4	151,887	40,816	151,887	40,816
Mirai_udpplain	5	56,504	40,816	56,504	40,816
Gafgyt_combo	6	40,816	40,816	40,816	40,816
Gafgyt_junk	7	19,941	19,941	40,816	40,816
Gafgyt_scan	8	19,503	19,503	40,816	40,816
Gafgyt_tcp	9	64,786	40,816	64,786	40,816
Gafgyt_udp	10	73,961	40,816	73,961	40,816