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. 2026 Apr 18;16:15732. doi: 10.1038/s41598-026-47104-6

Table 6.

Robustness under noise Inline graphic across various real evaluation conditions.

Noise type Severity (%) Device LSTM-IDS XAI-ML-IDS DT2SA BCE-IoT Causio-twinchain (proposed)
Gaussian 5 Doorbell 72.4 75.8 78.1 81.5 98.1
10 70.9 74.4 77.0 82.1 98.3
15 PT Camera 71.3 76.0 78.8 83.2 98.4
20 73.0 75.1 79.2 82.7 98.5
Packet Drop 5 Thermostat 72.1 74.9 78.6 82.9 98.0
10 69.8 73.6 77.3 81.8 98.2
15 Baby Monitor 71.2 75.4 79.0 83.5 98.7
20 72.8 76.2 80.1 84.0 99.0
Temporal Jitter 5 Doorbell 70.5 74.0 77.8 82.2 98.1
10 71.9 75.1 78.9 83.0 98.6
15 PT Camera 73.1 76.5 80.3 84.4 99.1
20 72.4 75.7 79.5 83.7 98.8
FGSM (ε = 0.02) 2 Thermostat 71.6 74.6 78.4 82.5 98.4
FGSM (ε = 0.05) 5 70.8 73.8 77.6 81.9 98.0
FGSM (ε = 0.1) 10 Baby Monitor 72.2 75.4 79.0 82.8 98.9
Mixed Noise (Gaussian + Drop) 5 + 5 Doorbell 73.3 76.8 80.6 84.6 99.2
10 + 10 PT Camera 72.0 75.0 78.7 83.1 98.5
Mixed Noise (Jitter + FGSM) 10 + 5 Thermostat 71.4 74.4 78.0 82.4 98.3
High Mixed Noise (All 15%) 15 PT Camera 73.5 76.9 80.8 84.9 99.3
Extreme Mixed Noise (All 20%) 20 Baby Monitor 72.7 76.0 79.7 83.8 98.7