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Qing-Long HAN


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Frontiers of Information Technology & Electronic Engineering  2024 Vol.25 No.2 P.179-181


Secure control and filtering for industrial metaverse

Author(s):  Qing-Long HAN, Derui DING, Xiaohua GE

Affiliation(s):  School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122, Australia; more

Corresponding email(s):   qhan@swin.edu.au

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Qing-Long HAN, Derui DING, Xiaohua GE. Secure control and filtering for industrial metaverse[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(2): 179-181.

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author="Qing-Long HAN, Derui DING, Xiaohua GE",
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A1 - Qing-Long HAN
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Metaverse can be regarded as a socialized and virtualized cyberspace parallel yet interactive to the real world. Benefiting from the rapid development of cloud computing and digital twins, metaverse is transforming traditional control and filtering paradigms of industrial automation systems into cyber-physical social systems. Under this scenario, future industrial automation systems could be an integration of real-world ones and virtual twins combined with great computational power within a certain temporal and spatial range. The focused context of metaverse in this field involves information transmission management, behavior recognition of users, as well as control, filtering, and decision-making. Furthermore, the system performance and cost will be a synthetical reflection of the system behavior in cyberspace and the real world. It is indisputable that the intrinsic characteristics of information exchanges between the virtualized cyberspace and the real world, which responds to an urgent need for secure control and filtering, pose significant challenges toward guaranteeing desired system performance and realizing the ideal parameter design. Unfortunately, the current results on metaverse focus mainly on addressing its social significance and seeking its various application fields. The development in the control field still lies in its primary stage.



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