IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset

Journal of Big Data

Table 3 UNSW-NB15 feature data types

No.	Feature	Dtype	No	Feature	Dtype
0	dur	float64	22	dwin	int64
1	proto	object	23	tcprtt	float64
2	service	object	24	synack	float64
3	state	object	25	ackdat	float64
4	spkts	int64	26	smean	int64
5	dpkts	int64	27	dmean	int64
6	sbytes	int64	28	trans_depth	int64
7	dbytes	int64	29	response_body_len	int64
8	rate	float64	30	ct_srv_src	int64
9	sttl	int64	31	ct_state_ttl	int64
10	dttl	int64	32	ct_dst_ltm	int64
11	sload	float64	33	ct_src_dport_ltm	int64
12	dload	float64	34	ct_dst_sport_ltm	int64
13	sloss	int64	35	ct_dst_src_ltm	int64
14	dloss	int64	36	is_ftp_login	int64
15	sinpkt	float64	37	ct_ftp_cmd	int64
16	dinpkt	float64	38	ct_flw_http_mthd	int64
17	sjit	float64	39	ct_src_ltm	int64
18	djit	float64	40	ct_srv_dst	int64
19	swin	int64	41	is_sm_ips_ports	int64
20	stcpb	int64	42	attack_cat	object
21	dtcpb	int64	43	label	int64