Research Article
Detecting Malware with an Ensemble Method Based on Deep Neural Network
Table 5
The malware detection experiment results for different methods.
| Models | Accuracy (%) | AUC | TPR (%) | FPR (%) | EER (%) | Training time (h) | Detection time (ms) |
| -gram | 93.21 | 0.9864 | 89.22 | 0.1 | 3.94 | 4.18 | 2304 | LSTM | 99.13 | 0.9999 | 98.69 | 0.1 | 0.54 | 1.34 | 13.62 | CNN | 98.14 | 0.9989 | 96.92 | 0.1 | 1.55 | 1.46 | 15.97 | LSTM + CNN + MF (MalNet) | 99.88 | 0.9999 | 99.14 | 0.1 | 0.37 | 2.91 | 30.33 |
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