Securing Industrial Internet of Things Against Botnet Attacks Using
Hybrid Deep Learning Approach
This work proposes a hybrid intelligent Deep Learning (DL)-enabled
mechanism to secure IIoT infrastructure from lethal and sophisticated
multi-variant botnet attacks. The proposed mechanism has been rigorously
evaluated with latest available dataset, standard and extended
performance evaluation metrics, and current DL benchmark algorithms.
Besides, cross validation of our results are also performed to clearly
show overall performance.