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Towards a generalized hybrid deep learning model with optimized hyperparameters for malicious traffic detection in the Industrial Internet of Things

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Palestine Technical College
Babayigit B.; Abubaker M.
Babayigit, Bilal (14010616400); Abubaker, Mohammed (58170618100)
14010616400; 58170618100
2024
Engineering Applications of Artificial Intelligence
Towards a generalized hybrid deep learning model with optimized hyperparameters for malicious traffic detection in the Industrial Internet of Things
128
Elsevier Ltd
107515
Department of Computer Engineering, Erciyes University, Melikgazi, 38039, Turkey; Department of Computer Science, Palestine Technical College, Gaza, P920, Palestine
Babayigit B., Department of Computer Engineering, Erciyes University, Melikgazi, 38039, Turkey; Abubaker M., Department of Computer Engineering, Erciyes University, Melikgazi, 38039, Turkey, Department of Computer Science, Palestine Technical College, Gaza, P920, Palestine
M. Abubaker; Department of Computer Engineering, Erciyes University, Melikgazi, 38039, Turkey; email: mabubaker@ptcdb.edu.ps
29
10.1016/j.engappai.2023.107515
Autoencoder; Classification of malicious attacks; Convolutional neural network; Deep learning; Gated recurrent unit; Industrial Internet of Things
Convolution; Convolutional neural networks; Internet of things; Learning systems; Losses; Recurrent neural networks; Auto encoders; Classification of malicious attack; Convolutional neural network; Deep learning; F1 scores; Gated recurrent unit; Hyper-parameter; Industrial internet of thing; Learning models; Malicious attack; Classification (of information)