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Intrusion Detection research benchmarks – Page 7 · SOTA2 Research

Intrusion Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CICIDS NIDS layer 2018

Proposed Three-layer IDS Pipeline

98.02Accuracy

1

May 18, 2026

VeReMi Extension

Alladi et al. (2021)

98.26Detection Rate (DR)

1

Apr 23, 2026

CAN-Intrusion; UNSWNB-15; CICIDS-2017

Chen et al. (2024)

98.37Detection Rate (DR)

1

Apr 23, 2026

Qin et al. (2024)

99.61Detection Rate

1

Apr 23, 2026

CAN-Intrusion CICIDS 2017

Yang et al. (2021)

99.88Detection Rate (DR)

1

Apr 23, 2026

BigFlows CTU-13 derived

Fast Detector pipeline

6.61FPR (Fast Detector)

1

Apr 8, 2026

CTU-13 Neris 2011 (held out)

Fast Detector pipeline

99.85F1 Score

1

Apr 8, 2026

Custom IDS Dataset

98.5Accuracy

1

Mar 30, 2026

Adaptive Curriculum Learning

98Accuracy

1

Mar 30, 2026

0.008P-Value

1

Feb 26, 2026

0.618P-Value

1

Feb 26, 2026

CSE-CIC-IDS 2018 (test)

99.25Accuracy

1

Feb 26, 2026

Cloud Intrusion Detection Systems

—

—Primary metric

0

May 18, 2026

Page 7 of 7

Popular datasets

CICIDS CIC-IDS N-BaIoT CICIoT UNSW-NB

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