Table 6 Performance analysis results of the examined pretrained CNN models on a Gray image dataset.

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 score

Loss

ResNet50

99.91

99.91

99.91

99.91

99.8492

0.0059

EfficientNetB0

99.70

99.6987

99.70

99.6993

99.61

0.0167

VGG16

98.12

98.12

98.12

98.12

98.0213

0.0471

Xception

98.04

98.034

98.04

98.0375

98.9344

0.1261

InceptionV3

97.60

97.5986

97.60

97.5992

97.6078

0.1179

VGG19

97.40

97.40

97.40

97.40

97.40

0.1194

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