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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