Skip to main content

Advances, Systems and Applications

Table 6 Per-class comparison of performance measures for malware detection

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

Model

App

Precision (%)

Recall (%)

F1-score (%)

GNB

Malware

100

97

98

 

Benign

100

96

100

SVM-rbf

Malware

100

97

98

 

Benign

96

100

98

DT

Malware

98

99

98

 

Benign

99

97

98

LR

Malware

100

97

98

 

Benign

96

100

98

RF

Malware

97

98

97

 

Benign

98

96

97

KNN

Malware

97

98

98

 

Benign

98

96

97

MLP

Malware

97

100

98

 

Benign

100

96

97

Ensemble

Malware

100

98

98

 

Benign

97

99

99