Table 6 Performance metrics of the proposed model on the CICIDS2017 dataset.
Attack type | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) | FPR (%) |
|---|---|---|---|---|---|
Benign | 99.99 | 99.99 | 1.00 | 99.99 | 0.02 |
Bot | 1.00 | 1.00 | 1.00 | 1.00 | 0.00 |
DDos | 99.99 | 1.00 | 99.81 | 99.90 | 0.00 |
Dos GoldenEye | 1.00 | 1.00 | 1.00 | 1.00 | 0.00 |
Dos Hulk | 99.99 | 99.89 | 1.00 | 99.94 | 0.03 |
Dos Slowhttptest | 99.99 | 99.76 | 1.00 | 99.88 | 0.00 |
Dos Slowloris | 99.99 | 1.00 | 99.76 | 99.88 | 0.00 |
FTP-patator | 99.99 | 1.00 | 99.74 | 99.87 | 0.00 |
Heartbleed | 99.99 | 1.00 | 97.56 | 98.77 | 0.00 |
Infiltration | 1.00 | 1.00 | 1.00 | 1.00 | 0.01 |
Portcan | 1.00 | 1.00 | 1.00 | 1.00 | 0.01 |
SSH-patator | 99.99 | 99.74 | 1.00 | 99.87 | 0.01 |
Brute force | 99.93 | 99.74 | 97.49 | 98.61 | 0.00 |
SQL injection | 1.00 | 1.00 | 1.00 | 1.00 | 0.00 |
XSS | 99.93 | 99.49 | 99.74 | 99.61 | 0.00 |
