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Network Intrusion Detection research benchmarks · SOTA2 Research

Network Intrusion Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CAP Generalization

99.97F1 Score

42

Jun 16, 2026

CIC-IoT-23 Generalization

100F1 Score

33

Jun 16, 2026

IoT NIDS Adversarial Traffic (test)

82Detection Rate

16

Mar 25, 2026

MQTT enterprise network traffic FPA attack scenario

100ASR

15

Feb 26, 2026

99.1Accuracy

14

Jun 30, 2026

UNSW-NB15 (test)

Supervised (Classical)

0.972AUROC

7

Apr 15, 2026

2.2O Score

6

Jun 30, 2026

6.4Metric O

6

Jun 30, 2026

CIC Brute Force 17

5.8Overall Metric

6

Jun 30, 2026

16.4O Metric

6

Jun 30, 2026

5.1O Metric

6

Jun 30, 2026

CIC-IDS Generalization 2017

98.18F1-score

6

Jun 16, 2026

Con Generalization

99.98F1-score

6

Jun 16, 2026

98.2F1 Score

6

Apr 8, 2026

NF-ToN-IoT (test)

93.79Accuracy

5

Apr 8, 2026

NF-BoT-IoT (test)

90Accuracy

5

Apr 8, 2026

97.1F1 Score

5

Jun 9, 2026

KIT sub-sampled (test)

0.925F1-score (Low rate TCP, SIM)

4

Jun 16, 2026

CIC-IDS 15% 2017 (test)

0.942PR AUC

4

Jun 2, 2026

CSE-CIC-IDS2018 (test)

88.9AUROC

4

Apr 15, 2026

IoT NIDS adversarial traffic

79Detection Rate (KNN Attacker)

4

Mar 25, 2026

IoTID20 (5-fold cross-validation)

5.48Validation Loss

3

Apr 24, 2026

MQTT-IoT-IDS 2020 (5-fold cross-validation)

1.03Validation Loss

3

Apr 24, 2026

CICIoT23 WEB (5-fold cross-validation)

2.24Validation Loss

3

Apr 24, 2026

UNSW-NB15 (unmodified)

multilayer defense mechanism

77.71Accuracy

3

Mar 12, 2026

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