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Table 2 List of features exist in UNSW-NB 15 Dataset

From: Performance analysis of machine learning models for intrusion detection system using Gini Impurity-based Weighted Random Forest (GIWRF) feature selection technique

Feature number Format Feature
1 Float dur
2 Categorical proto
3 Categorical service
4 Categorical state
5 Integer spkts
6 Integer dpkts
7 Integer sbytes
8 Integer dbytes
9 Float rate
10 Integer sttl
11 Integer dttl
12 Float sload
13 Float dload
14 Integer sloss
15 Integer dloss
16 Float sinpkt
17 Float dinpkt
18 Float sjit
19 Float djit
20 Integer swin
21 Integer stcpb
22 Integer dtcpb
23 Integer dwin
24 Float tcprtt
25 Float synack
26 Float ackdat
27 Integer smean
28 Integer dmean
29 Integer trans_depth
30 Integer response_body_len
31 Integer ct_srv_src
32 Integer ct_state_ttl
33 Integer ct_dst_ltm
34 Integer ct_src_dport_ltm
35 Integer ct_dst_sport_ltm
36 Integer ct_dst_src_ltm
37 Binary is_ftp_login
38 Integer ct_ftp_cmd
39 Integer ct_flw_http_mthd
40 Integer ct_src_ltm
41 Integer ct_srv_dst
42 Binary is_sm_ips_ports
43 Categorical attack_cat
44 Binary label