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Intrusion Detection research benchmarks · SOTA2 Research

Intrusion Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

97.2Accuracy

84

Feb 26, 2026

99Accuracy

48

Feb 26, 2026

98Accuracy

48

Jun 23, 2026

Edge-IIoTset (test)

99.9Accuracy

43

Jun 11, 2026

CAR HACKING dataset

99.99Precision

36

Feb 26, 2026

99.2Recall

35

Jun 12, 2026

UNSW-NB15 (test)

Imp.1: XGBoost-BalSamp

95.29F1 Score

33

Jul 7, 2026

Survival Sonata Dataset

100Recall

25

Feb 26, 2026

96.5Accuracy

24

Jun 12, 2026

99.27F1 Score

24

Jun 30, 2026

Fed. TAE + PPO + DT

99.95Accuracy

21

Jun 23, 2026

Intrusion Detection in Internet of Vehicles dataset

99.81Accuracy

17

Feb 26, 2026

100ADP (Mean)

16

May 11, 2026

QUT-GOOSE ZSS 2023 (test)

0.604MCC

15

Jul 8, 2026

ECU-IoFT 30% unseen (test)

PrivFly + SMOTE

0.98Accuracy

15

Feb 26, 2026

ToN_IoT withheld-family zero-day protocol

83.16Accuracy

14

Feb 26, 2026

Survival Kia Dataset

100Recall

13

Feb 26, 2026

99.97Accuracy

12

Jun 30, 2026

XIIoT, UNSW, CICIDS17, CICIDS18, WUSTL Aggregate (test)

58.7Avg Forward Transfer

12

Feb 26, 2026

19.74Backward Transfer

12

Feb 26, 2026

CICIDS18 (test)

20.23Backward Transfer

12

Feb 26, 2026

CICIDS17 (test)

7.84Backward Transfer

12

Feb 26, 2026

626Backward Transfer

12

Feb 26, 2026

-27.22Backward Transfer

12

Feb 26, 2026

93.83Accuracy A

11

Apr 24, 2026

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