Research Article
Botnet Detection Using Support Vector Machines with Artificial Fish Swarm Algorithm
Table 4
The experimental results of AFSA and GA, 5-fold cross-validations.
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Datasets | AFSA-SVM | GA-SVM | No. of selected features | Average accuracy rate (%) | Executed time (sec) | No. of selected features | Average accuracy rate (%) | Executed time (sec) |
| Botnet1 | 6 | 97.76 | 19843 | 7.2 | 97.30 | 22831 | Botnet2 | 5.6 | 98.22 | 21460 | 6.8 | 96.87 | 22868 | Botnet3 | 6 | 99.56 | 22436 | 7.8 | 99.11 | 21583 |
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