Table 3 Adversarial attack.

From: A multilayer deep autoencoder approach for cross layer IoT attack detection using deep learning algorithms

Model Variant

Attack Type

Detection Accuracy (%)

False Positive Rate (%)

M-LDAE (Baseline)

Normal DDoS

96.8

3.5

M-LDAE (Adversarial Training)

FGSM-DDoS

92.4

5.1

M-LDAE (Adversarial Training)

PGD-MITM

89.7

6.8

Ensemble (M-LDAE + GNN + XGBoost)

PGD-MITM

94.5

4.2