Cited by 357IoT and Edge/Fog ComputingDigital Transformation in IndustryInternet of Things and AI

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A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects

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Wang, Yuntao, Su, Zhou, Guo, Shaolong, Dai, Minghui, Luan, Tom H., Liu, Yiliang·2023·IEEE Internet of Things Journal

DOI 10.1109/jiot.2023.3263909

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Abstract

By interacting, synchronizing, and cooperating with its physical counterpart in real time, digital twin (DT) is promised to promote an intelligent, predictive, and optimized modern city. Via interconnecting massive physical entities and their virtual twins with inter-twin and intra-twin communications, the Internet of DTs (IoDT) enables free data exchange, dynamic mission cooperation, and efficient information aggregation for composite insights across vast physical/virtual entities. However, as IoDT incorporates various cutting-edge technologies to spawn the new ecology, severe known/unknown security flaws, and privacy invasions of IoDT hinder its wide deployment. Besides, the intrinsic characteristics of IoDT, such as decentralized structure, information-centric routing, and semantic communications, entail critical challenges for security service provisioning in IoDT. To this end, this article presents an in-depth review of the IoDT with respect to system architecture, enabling technologies, and security/privacy issues. Specifically, we first explore a novel distributed IoDT architecture with cyber–physical interactions and discuss its key characteristics and communication modes. Afterward, we investigate the taxonomy of security and privacy threats in IoDT, discuss the key research challenges, and review the state-of-the-art defense approaches. Finally, we point out the new trends and open research directions related to IoDT.

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Retracted: Blockchain and Deep Learning for Secure Communication in Digital Twin Empowered Industrial IoT Network
Kumar, P., Kumar, R., Kumar, A., Franklin, A. A., Garg, S., & Singh, S. (2023) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2022.3191601 · Cited by 117
Retracted
Digital twin: Enabling technologies, challenges and open research
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Background
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Authors: Wang, Y., Su, Z., Guo, S., Dai, M., Luan, T. H., & Liu, Y.
Affiliations: Xi'an Jiaotong University (CN)
University of Macau (MO)
ORCID: Wang, Yuntao
Su, Zhou
Dai, Minghui
Luan, Tom H.
Liu, Yiliang
Venue: IEEE Internet of Things Journal
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2023-09-01
Volume: 10
Issue: 17
Pages: 14965-14987
ISSN: 2327-4662 (ISSN-L)
2372-2541
DOI: 10.1109/jiot.2023.3263909
OpenAlex: W4362514681
Semantic Scholar: bc0b2c5033fdf66b5f48adf715dd333f94f9064d
Cited by: 357
References: 139
Citations by year: 2026: 113 · 2025: 127 · 2024: 88 · 2023: 26
FWCI: 39.32
Type: journal article
Language: en
Open access: green
doi.org
Licence: cc-by-nc-sa
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
Locations: IEEE Internet of Things Journal (publishedVersion)
arXiv (Cornell University) (submittedVersion)
Figshare (submittedVersion, cc-by-nc-sa)
arXiv (Cornell University)
Funders: NSFC (U22A2029, U20A20175, 62101429)
Fundamental Research Funds for the Central Universities
Topics: Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
Keywords: digital twin, digital twin architecture, security threats, privacy, cyber-physical systems, distributed architecture, information-centric networking, semantic communication, security defenses, enabling technologies

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A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects

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