Research Article
LSTM-Based Hierarchical Denoising Network for Android Malware Detection
Table 4
The malware family classification results.
| Methods | Features | Malware dataset | Malware | Accuracy (%) | Precision | Recall | 1-score | TPR (%) | FPR (%) |
| DroidSIFT [34] | API dependency graph | BD1 | 1,260 | 93 | - | - | - | - | - | HDN | Opcode patterns | BD1 | 1,260 | 99.04 | 0.991 | 0.989 | 0.99 | 97.79 | 0.5 |
| Drebin [13] | API calls, intents, permissions, cmnds | BD2 | 5,560 | - | - | - | - | 93 | 1 | HDN | Opcode patterns | BD2 | 5,560 | 98.32 | 0.986 | 0.981 | 0.984 | 97.08 | 0.5 |
|
|