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 categories | False positive rate (FPR) (%) | Detection rate (DR) (%) | CMPSO | ACO | KH | IKH | LNNLS-KH | CMPSO | ACO | KH | IKH | LNNLS-KH |
| Normal | 9.25 | 8.72 | 6.41 | 4.93 | 3.67 | 88.05 | 88.51 | 89.25 | 92.46 | 93.89 | DoS | 5.41 | 4.48 | 4.06 | 2.83 | 1.94 | 72.57 | 82.89 | 87.86 | 92.56 | 92.64 | DDoS | 6.85 | 4.92 | 4.54 | 6.33 | 3.18 | 79.03 | 83.47 | 90.22 | 87.52 | 92.98 | PortScan | 4.65 | 3.02 | 2.84 | 1.86 | 1.16 | 88.25 | 93.80 | 94.33 | 95.14 | 95.42 | WebAttack | 5.33 | 3.16 | 2.52 | 2.11 | 1.60 | 87.40 | 91.35 | 92.19 | 92.94 | 94.77 |
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