Research Article
Binary File’s Visualization and Entropy Features Analysis Combined with Multiple Deep Learning Networks for Malware Classification
Table 4
The performance of location-information-feature-based classifiers.
| Classifier | Training time (s) | Acc (%) | F1-score (%) | AUC |
| RF | 1.20 | 90.88 | 89.82 | 0.9843 | KNN | 1.61 | 91.91 | 91.78 | 0.9632 | MLP | 134.78 | 81.25 | 77.55 | 0.9835 | SVM | 67.94 | 95.65 | 95.66 | 0.9989 | DT | 10.19 | 86.28 | 86.35 | 0.9021 | NB | 0.10 | 69.70 | 68.12 | 0.9641 |
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