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Table 3 UNSW-NB15 selected features using the XGBoost method

From: Performance Analysis of Intrusion Detection Systems Using a Feature Selection Method on the UNSW-NB15 Dataset

Feature number

Feature

Format

Feature importance score

f10

sttl

Integer

0.803374

f41

ct_srv_dst

Integer

0.039387

f7

sbytes

Integer

0.037377

f27

smean

Integer

0.019878

f2

proto

Integer

0.018848

f32

ct_state_ttl

Integer

0.016783

f14

sloss

Integer

0.012008

f25

synack

Float

0.010125

f35

ct_dst_src_ltm

Integer

0.007203

f28

dmean

Integer

0.007134

f31

ct_srv_src

Integer

0.006745

f3

service

Categorical

0.006305

f13

ct_dst_sport_ltm

Integer

0.003717

f8

dbytes

Integer

0.002706

f15

dloss

Integer

0.001793

f4

state

Categorical

0.001548

f24

tcprtt

Float

0.001224

f34

ct_src_dport_ltm

Integer

0.000526

f9

rate

Float

0.000503