Demonstration : A cloud-native digital twin with adaptive cloud-based control and intrusion detection
(2021) In Electronic Communications of the EASST 80. p.1-4- Abstract
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... (More)
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.
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- author
- Tärneberg, William LU ; Gunnarsson, Martin LU ; Kihl, Maria LU and Gehrmann, Christian LU
- organization
- publishing date
- 2021
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Cloud-native, Cyber security, Digital-Twin, Distributed computing, Feedback control, Intrusion Detection, Testbed, Wireless emulation
- in
- Electronic Communications of the EASST
- volume
- 80
- pages
- 4 pages
- publisher
- European Association of Software Science and Technology
- external identifiers
-
- scopus:85120355101
- ISSN
- 1863-2122
- DOI
- 10.14279/tuj.eceasst.80.1133
- language
- English
- LU publication?
- yes
- id
- f390e9cf-9ea6-40d8-80ea-54c73542a2de
- date added to LUP
- 2021-12-14 10:36:53
- date last changed
- 2022-05-05 06:39:21
@article{f390e9cf-9ea6-40d8-80ea-54c73542a2de,
abstract = {{<p>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.</p>}},
author = {{Tärneberg, William and Gunnarsson, Martin and Kihl, Maria and Gehrmann, Christian}},
issn = {{1863-2122}},
keywords = {{Cloud-native; Cyber security; Digital-Twin; Distributed computing; Feedback control; Intrusion Detection; Testbed; Wireless emulation}},
language = {{eng}},
pages = {{1--4}},
publisher = {{European Association of Software Science and Technology}},
series = {{Electronic Communications of the EASST}},
title = {{Demonstration : A cloud-native digital twin with adaptive cloud-based control and intrusion detection}},
url = {{http://dx.doi.org/10.14279/tuj.eceasst.80.1133}},
doi = {{10.14279/tuj.eceasst.80.1133}},
volume = {{80}},
year = {{2021}},
}