A ResNet-1D-BiGRU model with multi-head attention reaches 98.71% accuracy on EdgeHoTset and 99.99% on CICIoV2024 for IIoT intrusion detection while keeping inference under 0.0002 seconds per sample.
Adaptive cyber-attack detection in iiot using attention-based LSTM-CNN models,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments
A ResNet-1D-BiGRU model with multi-head attention reaches 98.71% accuracy on EdgeHoTset and 99.99% on CICIoV2024 for IIoT intrusion detection while keeping inference under 0.0002 seconds per sample.