An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems

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An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems
Title:
An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems
Journal Title:
IEEE Network
Publication Date:
16 October 2023
Citation:
Chen, C., Li, Y., Wang, Q., Yang, X., Wang, X., & Yang, L. T. (2023). An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems. IEEE Network, 1–1. https://doi.org/10.1109/mnet.2023.3321923
Abstract:
The rapid growth of IoT (Internet of Things) and smart services facilitate many CPS (Cyber-Physical Systems) such as smart health, smart grid and so on. Nevertheless, the communication security issues in CPS are becoming more and more important with the growing complexity of the CPS network and the increasing dependency of critical network infrastructure on cyber-based technologies. In recent years, deep learning technology has shown its superiority in detecting communication security attacks, but its high computational complexity and the massive amount of data generated by IoT devices have brought challenges to traditional cloud computing technology in terms of bandwidth and computing resources. In this paper, we have analyzed the characteristics of heterogeneity and hierarchy in attacks on CPS. We have also analyzed the role of edge intelligence in handling the security of large-scale data communication in CPS. Furthermore, we proposed a CPS communication attack detection framework based on edge cloud collaboration, aiming to improve the parallel efficiency of hardware resources when executing detection tasks. We aim to enhance the intelligence of physical devices and the degree of cloud collaboration, satisfying the real-time processing requirements of large-scale, hierarchical CPS attack detection. Furthermore, through simple simulation experiments, we verified the effectiveness of the proposed edge cloud collaboration framework in CPS attack detection.
License type:
Publisher Copyright
Funding Info:
There was no specific funding for the research done
Description:
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISSN:
1558-156X
0890-8044
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