A hybrid CNN and attentive hierarchical BiLSTM model with SMO for intrusion detection in IIoT

Model detect threats with high accuracy across different datasets showing systems reliability. Data reduction using SMO lowers computational overhead which makes it suitable to deploy on resource constrained devices. Evaluation across three datasets shows models generalization capability to various