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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

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