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Advances, Systems and Applications

Table 2 Metrics comparison for CICIDS-2017 dataset

From: A multi-classification detection model for imbalanced data in NIDS based on reconstruction and feature matching

No.

Method

Accuracy

F1-Scrore

Precision

Recall

1

CSE-IDS [34]

92.00

–

–

98.00

2

Big Data Based DL [35]

97.8

–

–

97.8

3

Ensemble Based IDS [36]

88.96

–

–

96.25

4

TLHA [33]

98.46

98.1

86.42

96.25

5

Proposed Model

99.81

99.79

99.80

99.81