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Advances, Systems and Applications

Table 3 Performance comparisons of malware categorization

From: Categorizing Malware via A Word2Vec-based Temporal Convolutional Network Scheme

Method

weighted TPR

weighted FPR

weighted PPV

weighted F-M

ACC

Ngram NBC

84.50%

1.80%

87.50%

85.30%

84.50%

OneHotTCN

96.00%

0.50%

96.20%

95.90%

96.00%

Word2VecLSTM

96.20%

0.70%

96.40%

96.30%

96.20%

Word2VecTCN

97.50%

0.40%

97.60%

97.50%

97.50%

  1. The values in boldface show the best results among the comparisons