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Security-Enhancing Digital Twins: Characteristics, Indicators, and Future Perspectives
SBA Res, Austria.
Univ Vienna, Austria.
AIT Austrian Inst Technol, Austria.
Chalmers Univ Technol, Sweden.
Show others and affiliations
2023 (English)In: IEEE Security and Privacy, ISSN 1540-7993, E-ISSN 1558-4046Article in journal (Refereed) Epub ahead of print
Abstract [en]

The term "digital twin" (DT) has become a key theme of the cyber-physical systems (CPSs) area, while remaining vaguely defined as a virtual replica of an entity. This article identifies DT characteristics essential for enhancing CPS security and discusses indicators to evaluate them.

Place, publisher, year, edition, pages
IEEE COMPUTER SOC , 2023.
Keywords [en]
Security; Behavioral sciences; Emulation; Testing; Mathematical models; Network systems; Digital twins
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-195770DOI: 10.1109/MSEC.2023.3271225ISI: 001005921400001OAI: oai:DiVA.org:liu-195770DiVA, id: diva2:1775439
Note

Funding Agencies|Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK); Federal Ministry for Labor and Economy (BMAW); federal state of Vienna; FFG via the BRIDGE 1 program [880609]; CDL-SQI; Christian Doppler Research Association; Austrian Federal Ministry for Digital and Economic Affairs; National Foundation for Research, Technology and Development; RICS Center on Resilient Information; Swedish Civil Contingencies Agency (MSB); U.S. Department of Commerce; National Institute of Standards and Technology [NIST-70NANB21H121, NIST-70NANB19H170]

Available from: 2023-06-27 Created: 2023-06-27 Last updated: 2023-06-27

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