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Demonstration: A cloud-native digital twin with adaptive cloud-based control and intrusion detection
Lund University, Sweden.
RISE Research Institutes of Sweden, Digital Systems, Data Science. Lund University, Sweden.ORCID iD: 0000-0002-0135-683x
Lund University, Sweden.
Lund University, Sweden.
2021 (English)In: Electronic Communications of the EASST, E-ISSN 1863-2122, Vol. 80Article in journal (Refereed) Published
Abstract [en]

Digital twins are taking a central role in the industry 4.0 narrative. However, they are still illusive. Many aspects of the digital-twins have yet to materialize. For example, to what degree will they be integrated into cloud and industry 4.0 systems as well as how and if they should augment their physical counterpart. Those choices are accompanied by challenging security aspects, many of which have to be studied partially. In this paper, we present a novel digital-twin demonstrator that enables experimentation and advanced research on such systems. The demonstrator is cloud-native, has a distributed adaptive control system, incorporates edge and public clouds, a PLC, intrusion detection, a wireless network emulator, and an attacker. 

Place, publisher, year, edition, pages
Universitatsbibliothek TU Berlin , 2021. Vol. 80
Keywords [en]
Cloud-native, Cyber security, Digital-Twin, Distributed computing, Feedback control, Intrusion Detection, Testbed, Wireless emulation
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ri:diva-57355DOI: 10.14279/tuj.eceasst.80.1133Scopus ID: 2-s2.0-85120355101OAI: oai:DiVA.org:ri-57355DiVA, id: diva2:1622646
Note

Funding details: Stiftelsen för Strategisk Forskning, SSF; Funding details: VINNOVA; Funding text 1: Acknowledgements: This work has been partially funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP), the ELLIIT strategic research area on IT and mobile communications, Sweden’s Innovation Agency (VINNOVA) under the 5G-PERFECTA Celtic Next project, the Swedish Foundation for Strategic Research under the SEC4FACTORY project.

Available from: 2021-12-23 Created: 2021-12-23 Last updated: 2023-10-23Bibliographically approved

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Gunnarsson, Martin

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