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Benchmarks
Threat Detection on Tri-IDS (BOT-IOT + CICIDS2017 + NSL-KDD)
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93.76
Accuracy
KAN-LSTM
92.5536
92.8668
93.18
93.4932
Mar 30, 2026
Accuracy
Precision
Recall
F1 Score
Updated 17d ago
Evaluation Results
Method
Method
Links
Accuracy
Precision
Recall
F1 Score
KAN-LSTM
2026.03
93.76
95.85
91.06
93.39
ConvKAN
2026.03
93.45
94.12
92.5
93.36
KANs
Number of layers=2
2026.03
93.45
94.34
92.01
93.16
KANs
Number of layers=5
2026.03
93.2
92.82
92.76
92.79
MLP
Number of layers=5
2026.03
93.1
93.54
92.12
92.83
LSTM
2026.03
93.05
95.21
91.22
93.17
MLP
Number of layers=2
2026.03
93.05
94.7
90.74
92.68
CNN
2026.03
92.6
91.5
91.2
91.9
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