Research Article

LNNLS-KH: A Feature Selection Method for Network Intrusion Detection

Table 16

The classification FPR and DR of different feature selection algorithms (CICIDS2017 dataset).

Data categoriesFalse positive rate (FPR) (%)Detection rate (DR) (%)
CMPSOACOKHIKHLNNLS-KHCMPSOACOKHIKHLNNLS-KH

Normal9.258.726.414.933.6788.0588.5189.2592.4693.89
DoS5.414.484.062.831.9472.5782.8987.8692.5692.64
DDoS6.854.924.546.333.1879.0383.4790.2287.5292.98
PortScan4.653.022.841.861.1688.2593.8094.3395.1495.42
WebAttack5.333.162.522.111.6087.4091.3592.1992.9494.77