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EURASIP Journal on Wireless Communications and Networking

Table 5 Comparison of individual sub-models and overall model metrics

From: Network abnormal traffic detection method based on fusion of chord similarity and multiple loss encoder

Model

Accuracy (%)

Precision (%)

Recall (%)

F1 score (%)

LSTM

72.146

85.402

63.066

72.416

AE

88.126

88.026

91.618

89.76

NADLA

92.786

92.678

94.844

93.734

  1. Bold indicates the performance of the NADLA model under each metric
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