Research Article
ImageDroid: Using Deep Learning to Efficiently Detect Android Malware and Automatically Mark Malicious Features
Table 1
Datasets used in our experiment.
| | Name | Source | #Benign | #Malicious |
| | Dataset 1 | Drebin [4] | – | 5500 | | Dataset 2 | MalGenome [18] | – | 1250 | | Dataset 3 | Android PRAGuard [19] | – | 1250 | | Dataset 4 | Google play store | 5500 | – |
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