Research Article
Botnet Detection Using Support Vector Machines with Artificial Fish Swarm Algorithm
Table 6
The experimental results of AFSA and GA, 10-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 | 4 | 100 | 3934 | 5.8 | 97.31 | 25662 | Botnet2 | 4.4 | 99.11 | 13505 | 6.2 | 99.56 | 5234 | Botnet3 | 5 | 100 | 10256 | 6.5 | 97.29 | 16523 |
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