SOPA‐GA‐CNN: Synchronous optimisation of parameters and architectures by genetic algorithms with convolutional neural network blocks for securing Industrial Internet‐of‐Things

SOPA‐GA‐CNN: Synchronous optimisation of parameters and architectures by genetic algorithms with convolutional neural network blocks for securing Industrial Internet‐of‐Things

Abstract In recent years, deep learning has been applied to a variety of scenarios in Industrial Internet of Things (IIoT), including enhancing the security of IIoT. However, the existing deep learning methods utilised in IIoT security are manually designed by heavily relying on the experience of th...

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Bibliographic Details
Main Authors: Jia‐Cheng Huang, Guo‐Qiang Zeng, Guang‐Gang Geng, Jian Weng, Kang‐Di Lu
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:IET Cyber-systems and Robotics
Subjects:
cyber‐systems
deep learning
deep neural network
Internet of things
swarm intelligence
Online Access:https://doi.org/10.1049/csy2.12085

Internet

https://doi.org/10.1049/csy2.12085

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