Abstract
The growth of cyber-physical systems (CPS) has greatly improved industrial efficiency and consumer convenience. Nevertheless, the widespread deployment of 5G-CPS systems also poses new problems that are of major concern to security. In order to help create stable and robust 5G-CPS systems, systematic analyzes are carried out on CPS and IoT from individual smart devices that act as terminal nodes to the entire network. The results of the review will help to find weaknesses in CPS systems and/or provide guidance on how to create protection in these systems using deep learning and blockchain techniques. Risk reduction approaches that can help improve protection will also be addressed.
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CITATION STYLE
Sicato, J. C. S., Cha, J., Pan, Y., & Park, J. H. (2021). Deep learning adoption blockchain secure framework for cyber physical system. In Lecture Notes in Electrical Engineering (Vol. 716, pp. 195–200). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-9309-3_28
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