Table 4 Comparison of experimental results between MLP and MLP-S.
From: Research on intrusion detection model based on improved MLP algorithm
Category | MLP | MLP-S | ||||
|---|---|---|---|---|---|---|
Precision | Recall | F1-score | Precision | Recall | F1-score | |
Benign | 99.91 | 99.88 | 99.90 | 99.91 | 99.90 | 99.91 |
Botnet ARES | 98.48 | 32.66 | 49.06 | 97.04 | 32.91 | 49.16 |
Brute Force | 99.82 | 99.22 | 99.52 | 99.94 | 99.22 | 99.58 |
DoS/DDoS | 99.65 | 99.90 | 99.78 | 99.67 | 99.91 | 99.79 |
PortScan | 99.81 | 49.96 | 66.76 | 87.50 | 87.50 | 87.50 |
Web Attack | 97.88 | 99.89 | 98.87 | 98.20 | 99.89 | 99.04 |
Infiltration | 94.18 | 97.63 | 95.87 | 98.25 | 96.55 | 97.39 |
