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Journal of Cloud Computing

Advances, Systems and Applications

Table 5 Performance comparison with recently similar works citing the Microsoft dataset

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

Method

Accuracy

Word2VecTCN (proposed)

97.52%

Rahul, R.K. et al. [39]

94.91%

Cho, Y. [40]

96.00%

Sung, Y. et al. [41]

96.76%

  1. The entries in boldface show the highest accuracy and the corresponding method among this performance comparison
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