Research Article
Binary File’s Visualization and Entropy Features Analysis Combined with Multiple Deep Learning Networks for Malware Classification
Table 6
The performance of combined-feature-based classifiers.
| Classifier | Training time (s) | Acc (%) | F1-score (%) | AUC |
| RF | 2.36 | 99.15 | 99.14 | 0.9997 | KNN | 7.25 | 99.10 | 99.09 | 0.9917 | MLP | 118.56 | 88.03 | 85.39 | 0.9902 | SVM | 120.02 | 99.73 | 99.73 | 0.9999 | DT | 26.55 | 98.13 | 98.11 | 0.9765 | NB | 0.64 | 98.68 | 98.68 | 0.9895 |
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