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Table 4 Selected features of UNSW-NB 15 and Network TON_IoT dataset

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

UNSW-NB 15 (20 features) Network TON_IoT (10 features)
feature name Importance score Feature name Importance score
sttl 0.123 ts 0.258
ct_state_ttl 0.099 proto 0.146
sload 0.059 src_ip_bytes 0.137
rate 0.058 src_pkts 0.067
dload 0.057 dst_ip_bytes 0.062
dttl 0.045 dst_pkts 0.048
sbytes 0.039 conn_state 0.047
ct_srv_dst 0.037 dst_bytes 0.034
smean 0.034 src_bytes 0.032
dmean 0.032 duration 0.030
dbytes 0.028
ackdat 0.027
ct_dst_src_ltm 0.027
ct_srv_src 0.026
dur 0.026
tcprtt 0.025
synack 0.024
dinpkt 0.023
sinpkt 0.022
dpkts 0.021