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UNSW-NB dataset and benchmarks · SOTA2 Research

Research Datasets

UNSW-NB

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Binary classification

UNSW-NB15

99.05Binary Accuracy

34

Intrusion Detection

UNSW-NB15 (test)

95.29F1 Score

33

Multi-classification

UNSW-NB15

89.4M.Acc (%)

30

Intrusion Detection

UNSW-NB15

99.27F1 Score

24

UNSW-NB15

92.9G-measure

15

Knowledge Graph Completion

UNSW-NB15 (Transductive)

3.79MR

12

Traffic Detection

UNSW-NB15

94.49Accuracy

10

UNSW-NB15

91.08ASR

9

Intrusion Detection

UNSW-NB15 d = 4 PCA (test)

87.8Accuracy (Clean)

5

Network Intrusion Detection

UNSW-NB15

97.1F1 Score

5

Malicious Traffic Detection

UNSW-NB15 (without drift)

99.67Accuracy

5

Network Anomaly Detection

UNSW-NB15 5.76% Contamination

97.63Accuracy

4

Network Anomaly Detection

UNSW-NB15 (3.36% Contamination)

97.67Accuracy

4

Multi-class Classification

UNSW-NB15 (test)

95.12F1 Score

4

Language Modeling

UNSW-NB15

76.92Accuracy

4

UNSW-NB15 (test)

85.65F1 Score

4

Positive-Unlabeled Classification

UNSW-NB15 (test)

82.24Accuracy

4

UNSW-NB15

99.6Accuracy

4

UNSW-NB15

97.4Accuracy (Clean)

3

Intrusion Detection

UNSW-NB 15 Full multi-class

99Accuracy

3

Intrusion Detection

UNSW-NB 2015 (average)

23.45F1-macro

3

Generative Modeling

UNSW-NB15 (test)

0.323MMD

3

Network Intrusion Detection

UNSW-NB15 (unmodified)

77.71Accuracy

3

Anomaly Detection

UNSW-NB 15

80AUC

3

Determinism Verification

UNSW-NB15

100Dataset Hash Match

1

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