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CICIDS

Benchmarks

Task NameDataset NameSOTA ResultTrend
Binary classificationCICIDS 2017
Binary Accuracy99.2
30
Multi-class Network Intrusion DetectionCICIDS 2017
Accuracy98.6
30
Anomaly DetectionCICIDS2017
After-Attack Accuracy85.99
24
Few-Shot Class Incremental LearningCICIDS 2017
PD43.96
16
Time Series Anomaly DetectionCICIDS
AUC-R82.76
13
Adversarial DetectionCICIDS 2017
AUC-ROC99.8
12
Intrusion DetectionCICIDS18 (test)
Backward Transfer20.23
12
Intrusion DetectionCICIDS17 (test)
Backward Transfer7.84
12
Intrusion DetectionCICIDS 2017
Accuracy99.28
9
Network Intrusion DetectionCICIDS 2017
F1 Score98.2
6
Network Security Threat DetectionCICIDS 2017
Precision0.9996
5
Binary Network Intrusion DetectionCICIDS 2017
F1 Score99.6
5
Anomaly DetectionCICIDS DoS
AUC0.83
5
Threat DetectionCICIDS 2017
Accuracy98.1
4
Threat DetectionCICIDS stream 2017 (test)
TP (True Positives)15
3
Intrusion DetectionCICIDS EA Scenario 2018
Backward Transfer (%)-47
3
Intrusion DetectionCICIDS EA Scenario 2017
Backward Transfer5.99
3
Intrusion DetectionCICIDS18
Forward Transfer43.07
3
Intrusion DetectionCICIDS17
Forward Transfer35.37
3
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