Research Article
An Approach Based on the Improved SVM Algorithm for Identifying Malware in Network Traffic
Table 5
Comparison of accuracy and FPR on four collected datasets.
| Dataset | Metric (%) | SVM | LA-SVM | NBM | DTM | NTMI |
| NTDS1 | Accuracy | 82.6 | 84.2 | 83.2 | 87.2 | 92.4 | FPR | 12.45 | 11.90 | 9.56 | 9.47 | 5.78 | NTDS2 | Accuracy | 82.8 | 84.8 | 84.3 | 87.5 | 92.5 | FPR | 11.34 | 10.58 | 9.73 | 9.36 | 5.74 | NTDS3 | Accuracy | 84.3 | 84.4 | 86.2 | 85.9 | 92.0 | FPR | 10.87 | 9.94 | 9.46 | 10.18 | 5.41 | NTDS4 | Accuracy | 84.6 | 85.6 | 86.2 | 86.6 | 93.1 | FPR | 11.08 | 8.69 | 10.14 | 9.92 | 5.18 | Average | Accuracy | 83.57 | 84.75 | 84.97 | 86.8 | 92.5 | FPR | 11.435 | 10.277 | 9.722 | 9.732 | 5.527 |
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