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Advances, Systems and Applications

Table 7 Comparison of performance measures for malware classification

From: A malware detection system using a hybrid approach of multi-heads attention-based control flow traces and image visualization

Model

Precision (%)

Recall (%)

F1-score (%)

MCC (%)

Accuracy (%)

GNB

98

97

97

97.16

97.41

SVM-rbf

94

94

94

91.40

93.56

DT

95

95

95

93.91

94.71

LR

98

97

97

96.59

97.42

RF

97

97

97

96.21

97.16

KNN

97

97

97

96.86

97.02

MLP

98

97

98

97.81

98.37

Ensemble

100

98

98

98.52

99.17