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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