A novel extended Internet of things (IoT) Cybersecurity protection based on adaptive deep learning prediction for industrial manufacturing applications-Reference-Cited by-同舟云学术

A novel extended Internet of things (IoT) Cybersecurity protection based on adaptive deep learning prediction for industrial manufacturing applications

Published:2022-04-15 Issue:7 Volume:24 Page:9464-9480
ISSN:1387-585X
Container-title:Environment, Development and Sustainability
language:en
Short-container-title:Environ Dev Sustain

Author:

Alattas Khalid A.,Mardani Abbas

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s10668-021-01835-w.pdf

Reference44 articles.

1. Abdur, M., Habib, S., Ali, M., & Ullah, S. (2017). Security issues in the internet of things (IoT): A comprehensive study. International Journal of Advanced Computer Science and Applications. https://doi.org/10.14569/ijacsa.2017.080650

2. Afandi, F., & Sarno, R. (2020). Android application for advanced security system based on voice recognition, biometric authentication, and internet of things. In Proceeding - ICoSTA 2020: 2020 International Conference on Smart Technology and Applications: Empowering Industrial IoT by Implementing Green Technology for Sustainable Development. https://doi.org/10.1109/ICoSTA48221.2020.1570615292.

3. Al Shorman, A., Faris, H., & Aljarah, I. (2020). Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection. Journal of Ambient Intelligence and Humanized Computing. https://doi.org/10.1007/s12652-019-01387-y

4. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys and Tutorials, 17(4), 2347–2376. https://doi.org/10.1109/COMST.2015.2444095

5. Alharam, A. K., & El-Madany, W. (2017). Complexity of cyber security architecture for IoT healthcare industry: A comparative study. In Proceedings - 2017 5th International Conference on Future Internet of Things and Cloud Workshops, W-FiCloud 2017, https://doi.org/10.1109/FiCloudW.2017.100.

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