Intrusion Detection on BoT-IoT (test) benchmark leaderboard · SOTA2 Research

Intrusion Detection on BoT-IoT (test)

96.5AccuracyMixGAN

Evaluation Results

Method	Links
MixGAN2025.08		96.5	96.5	96.5	96.5	96.5	95.4
MixGAN2025.08		95.1	95.3	95.1	95	95.1	95.3
MixGAN2025.08		92.9	93.3	92.9	92.9	92.9	93.3
GHLBO+DSA2025.08		91.7	90.8	90.8	90.8	88.3	90.9
MixGAN2025.08		91.6	91.6	91.6	91.6	91.6	91.6
FACVO-DNFN2025.08		91.4	85.9	88.9	87.4	88.9	90
GHLBO+DSA2025.08		91.2	89	89.6	89.3	87.8	88.4
GHLBO+DSA2025.08		90.8	88.5	89.1	88.8	87.2	87.8
GHLBO+DSA2025.08		90.3	87.8	88.4	88.1	86.5	87.2
FACVO-DNFN2025.08		90.2	84.8	87.9	86.3	87.9	88.9
HLBO+DSA2025.08		89.9	88.7	89.4	89	89.4	90.8
HLBO+DSA2025.08		89.5	88.3	88.9	88.6	88.9	89.6
HLBO+DSA2025.08		89.1	87.6	88.3	87.9	88.3	89.1
FACVO-DNFN2025.08		89.1	83.7	86.5	85.1	86.5	86.9
FT-DBN2025.08		89	83.7	85.8	84.7	85.8	87.5
FACVO-DNFN2025.08		88.7	83.4	82.8	83.1	82.8	85.4
HLBO+DSA2025.08		88.5	87	87.9	87.4	87.9	88.4
FT-DBN2025.08		88	82.7	84.6	83.7	84.6	85.4
FT-DBN2025.08		86.7	81.5	82.3	81.9	82.3	84.5
FT-DBN2025.08		86.3	81.2	80.4	80.8	80.4	83.2
LUCID2025.08		84.1	83.7	83.8	83.8	83.8	83.7
LUCID2025.08		83.5	83.4	83.2	83.3	83.2	83.4
LUCID2025.08		80.3	82.6	82.7	82.7	82.7	82.6
LUCID2025.08		79.7	82	82.6	82.3	82.6	81.9