Table 10 Overall performance accuracy.
From: Prediction of android ransomware with deep learning model using hybrid cryptography
References | Entity check | Techniques | Overall accuracy (%) |
|---|---|---|---|
Wu40 | All permissions | GNN, Bi-LSTM | 94.76 |
Hossain41 | Network Traffic | PSO | 81.58 |
Yadav et al.42 | Image File | CNN | 95.7 |
Ahmed43 | All permissions | TF-IDF | 98.0 |
Wu44 | All permissions | MLP | 93.90 |
Lachtar45 | Opcode | CNN | 96.0 |
Gao et al.49 | API | GCN | 98.99 |
Sharma50 | All permissions | VT & PCA | 98.08 |
Surendran et al.51 | System Calls | RF, NB | 96.0 |
Zhang et al.52 | All permissions | TF-IDF | 91.43 |
Proposed | All permissions | Deep learning model | 99.89 |
