Intrusion Detection on TON_IoT benchmark leaderboard · SOTA2 Research

Intrusion Detection on TON_IoT

99.95AccuracyFed. TAE + PPO + DT

Evaluation Results

Method	Links
Fed. TAE + PPO + DT2026.06		99.95	99.95	—	—	—	—	99.95
Teacher2025.12		99.89	99.55	—	—	—	—	—
Student2025.12		99.69	98.67	1.45	2.25	0.89	0.99	—
Student2025.12		99.68	98.63	1.29	1.62	1	1	—
Fed. TGCN + A2C + DT2026.06		99.61	99.12	—	—	—	—	99.61
Fed. + Q-learning2026.06		99.4	99.4	—	—	—	—	98.99
Fed. + Q-learning2026.06		99.4	99.4	—	—	—	—	98.99
Federated CNN2026.06		99.2	—	—	—	—	—	97.47
Federated CNN2026.06		99.2	—	—	—	—	—	97.47
Federated TL2026.06		99.13	—	—	—	—	—	96.85
Federated TL2026.06		99.13	—	—	—	—	—	96.85
Federated anomaly2026.06		99.09	—	—	—	—	—	96.34
Federated anomaly2026.06		99.09	—	—	—	—	—	96.34
Federated RF2026.06		98.17	—	—	—	—	—	96.45
Federated RF2026.06		98.17	—	—	—	—	—	96.45
Federated MLP2026.06		94.15	—	—	—	—	—	—
Federated MLP2026.06		94.15	—	—	—	—	—	—
Centralised DNN2026.06		86.86	—	—	—	—	—	—
Centralised DNN2026.06		86.86	—	—	—	—	—	—
Federated GAN2026.06		74.19	—	—	—	—	—	—
Federated GAN2026.06		74.19	—	—	—	—	—	—