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Cybersecurity

Table 2 Comparison of campaign stages classification results

From: TriCTI: an actionable cyber threat intelligence discovery system via trigger-enhanced neural network

Model

Original training set

Augmentation training set

Accuracy

Precision

Recall

F1

Accuracy

Precision

Recall

F1

BiLSTM

81.23

81.45

81.39

81.27

81.27

81.54

81.55

81.38

BiLSTM-Att

80.76

81.31

80.99

80.94

82.02

82.38

82.17

82.10

BERT

82.99

83.77

82.93

82.87

83.63

84.15

83.68

83.65

TriCTI

86.38

86.55

86.57

86.43

86.99

87.16

87.10

87.02

  1. We run the model on the original labeled training set and the augmented training set. Accuracy, Precision, Recall, and F1 score (macro) are the average value over 3 runs
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