Research Article
ACAMA: Deep Learning-Based Detection and Classification of Android Malware Using API-Based Features
Table 3
ACAMA used parameters of CNN.
| | Embedding dimension | 64 |
| | The number of filters | 32 | | Size of filter | 8 | | Pooling | Max-pooling | | Size of pooling | 1 | | The number of convolutional layers | 1 |
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