Table 8 Comparison of accuracy with that of the nontrained model for Gray images.

From: A novel technique for ransomware detection using image based dynamic features and transfer learning to address dataset limitations

Model

Accuracy

Precision

Recall

F1 Score

AUC

Loss

CNN-GRU

97.07

97.0685

97.07

97.0692

97.1085

0.0680

CNN-LSTM

96.80

96.80

96.80

96.80

96.6958

0.0807

CNN

96.71

96.7107

96.71

96.7103

96.7168

0.1045

ANN

89.24

89.24

89.24

89.24

89.1613.

0.2853

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