Research Article
An Energy Efficient, Robust, Sustainable, and Low Computational Cost Method for Mobile Malware Detection
Table 4
SQ1 evaluation results: CCCS-CIC-AndMal-2020.
| Technique | Accuracy (%) | TPR | FPR |
| CNN | 93.97 | 0.938 | 0.021 | LeNet | 94.73 | 0.948 | 0.019 | AlexNet | 95.43 | 0.954 | 0.014 | Transfer learning | 97.19 | 0.971 | 0.011 |
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