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A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects
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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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“A crucial aspect of these advancements is the explainability of AI-driven decisions, which is essential for guiding IoDT development and refining AI algorithms [140,141].”
From Digital Twins in the IIoT: Current Practices and Future Directions Toward Industry 5.0 (2025) · cites this paper as [141]
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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
RetractedDigital twin: Enabling technologies, challenges and open research
Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020) · IEEE Access · doi:10.1109/access.2020.2998358 · Cited by 2,965
The information bottleneck method
Tishby, N., Pereira, F. C., & Bialek, W. (2000) · arXiv · doi:10.48550/arxiv.physics/0004057 · Cited by 2,626 · cited 1×
“Information bottleneck (IB) theory [139], which bridges information theory and machine learning, offers a promising approach to implement feasible and privacy-aware semantic communications in IoDT [140].”
BackgroundA Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
Tjoa, E., & Guan, C. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3027314 · Cited by 2,524
A Comprehensive Survey of Multiagent Reinforcement Learning
Busoniu, L., Babuska, R., & De Schutter, B. (2008) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2007.913919 · Cited by 2,235
A Survey on Metaverse: Fundamentals, Security, and Privacy
Wang, Y., Su, Z., Zhang, N., Xing, R., Liu, D., Luan, T. H., & Shen, X. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3202047 · Cited by 1,655
Self-citationA survey on digital twin: definitions, characteristics, applications, and design implications
Barricelli, B. R., Casiraghi, E., & Fogli, D. (2019) · IEEE Access · doi:10.1109/access.2019.2953499 · Cited by 1,480
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
Mihai, S., Yaqoob, M., Hưng, Đ. V., Davis, W., Towakel, P., Raza, M., Karamanoglu, M., Barn, B. S., Shetve, D., Prasad, R. V., et al. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3208773 · Cited by 1,195
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Gündüz, D., Qin, Z., Aguerri, I. E., Dhillon, H. S., Yang, Z., Yener, A., Wong, K., & Chae, C. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2022.3223408 · Cited by 893
Meta-Learning in Neural Networks: A Survey
Hospedales, T. M., Antoniou, A., Micaelli, P., & Storkey, A. J. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3079209 · Cited by 886
Research works printed but not linked: 3
- 2022, Digital twin market-global forecast to 2027
- 10.5555/3241094.3241142 · DOI
- 2020, Digital Twin Framework For Manufacturing
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Sami, M. A., Hemal, M. A. K. P., Alam, M. I., & Rahman, M. L. (2024) · European Journal of Applied Science Engineering and Technology · doi:10.59324/ejaset.2024.2(2).28 · Cited by 9
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Han, C., Yang, T., Cui, Z., & Sun, X. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3583764 · Cited by 8
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Kwon, D., Das, A. K., & Park, Y. (2025) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2025.3608165 · Cited by 5
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Castro, B. M., Reis, M. D. M., Salles, R. M., Monteiro, U. A. B. V., & Gutiérrez, R. H. R. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.107009 · Cited by 5
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Nguyen, M., Lam, A. N., Nguyen, P. H., & Truong, H. (2024) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac61105.2024.00159 · Cited by 5
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Wang, Y. (2024) · IEEE Annual Congress on Artificial Intelligence of Things (AIoT) · doi:10.1109/aiot63253.2024.00045 · Cited by 5
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Wang, T., He, Y., & Hao, M. (2025) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2025.3565011 · Cited by 4
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Liu, X., Wang, R., Liu, Y., Liu, D., Zhang, F., Sun, L., & Luan, T. H. (2023) · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) · doi:10.1109/pimrc56721.2023.10293929 · Cited by 4
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Sarantinoudis, N., Tsinarakis, G. J., Doitsidis, L., Chatzichristofis, S. A., & Arampatzis, G. (2023) · International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT) · doi:10.1109/dcoss-iot58021.2023.00114 · Cited by 4
Lopes, W. A. C., Rusteiko, A. C., Mendes, C. R., Honório, N. V. C., & Okano, M. T. (2024) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-71633-1_29 · Cited by 5
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Zhu, H., Song, F., & Zhu, K. (2025) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc61545.2025.10978577 · Cited by 3
Ghansah, F. A., Udeaja, C. E., Darko, A., Lu, W., Agyekum‐Mensah, G., Antwi-Afari, P., Twum-Ampofo, S., Ababio, B. K., & Debrah, C. (2025) · CIB Conferences · doi:10.7771/3067-4883.1911 · Cited by 3
Zhu, J., Chen, W., Su, L., Lan, B., Pei, T., & Jin, L. (2025) · Energy and AI · doi:10.1016/j.egyai.2025.100620 · Cited by 6
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Wang, K., Zhou, X., & Guan, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-29732-6 · Cited by 3
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Chanda, M., Mazumder, O., Rahman, T., & Ferdous, J. (2026) · International Journal of Distributed Sensor Networks · doi:10.1155/dsn/2401701 · Cited by 3
Mohammadi, F., Montazeri, S. H., Ayatollahi, F. S., Emamian, M., Danaeifar, S., Arani, Z. D., Javid, H. R. P., MotieShirazi, F., Tayebli, R., Mohammadisharmeh, S., et al. (2026) · Sustainable Cities and Society · doi:10.1016/j.scs.2026.107179 · Cited by 3
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Azzedin, F., Alhazmi, T. A., Abawajy, J., & Hammoudeh, M. (2026) · Information and Software Technology · doi:10.1016/j.infsof.2026.108093 · Cited by 3
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Olawade, D. B. (2026) · Brain Hemorrhages · doi:10.1016/j.hest.2026.04.002 · Cited by 3
Sulaima, M. F., Pradhan, A. K., Lenort, R., Frischer, R., Krejcar, O., & Namazi, H. (2026) · Energy Conversion and Management X · doi:10.1016/j.ecmx.2026.101920 · Cited by 3
Pekša, J., & Mamchur, D. (2026) · Automation · doi:10.3390/automation7030077 · Cited by 3
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Ahmad, I., Narmeen, R., Mughal, U. A., Yang, L., Li, J., Alkhrijah, Y. M., & Khan, M. K. (2026) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2026.3708340 · Cited by 3
Awais, M., Pervaiz, H., Ni, Q., & Yu, W. (2024) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2024.3425442 · Cited by 3
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Praveenkumar, K., Balasm, Z., Bharathi, P., Premalatha, B., Ataev, S., & Priya, P. (2025) · International Conference on Computational Innovations and Engineering Sustainability (ICCIES) · doi:10.1109/iccies63851.2025.11032312 · Cited by 4
Hatami, M., Dorje, L., Li, X., & Chen, Y. (2025) · Computers · doi:10.3390/computers14080321 · Cited by 3
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Mityakov, E. S., Ladynin, A. I., Шмелева, А. Г., & Kazakevich, I. D. (2025) · International Conference on Neural Networks and Neurotechnologies (NeuroNT) · doi:10.1109/neuront66873.2025.11049978 · Cited by 2
DT-Assisted Vehicular Crowdsensing Through Semantic-Aware NDN
Amadeo, M., Campolo, C., Serrano, S., Molinaro, A., & Ruggeri, G. (2025) · IEEE International Mediterranean Conference on Communications and Networking (MeditCom) · doi:10.1109/meditcom64437.2025.11104444 · Cited by 2
Mityakov, E. S. (2025) · Computational nanotechnology · doi:10.33693/2313-223x-2025-12-4-116-123 · Cited by 2
Digital Intelligent World: From Data-Driven AI to Knowledge-Enabled Intelligent Agents
Ge, X., Chen, Z., Yan, L., & Yang, Y. (2026) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2026.3651336 · Cited by 3
Behavior-Driven Real-Time Risk Assessment for Secure Fusion of Social IoT and Digital Twins
Anusha, R. S., Prakash, S. P. S., & Krinkin, K. V. (2026) · IEEE Internet of Things Journal · doi:10.1109/jiot.2026.3665536 · Cited by 2
Dong, K., & Moshood, T. D. (2026) · Buildings · doi:10.3390/buildings16051084 · Cited by 2
Transforming healthcare through digital twin technology: Current evidence and emerging opportunities
David-Olawade, A. C., Abanishe, R. B., Ogunbona, M. A., Makanjuola, B. D., Oluwadairo, E. D., & Olasilola, R. (2026) · Intelligent Hospital · doi:10.1016/j.inhs.2026.100077 · Cited by 3
Ghansah, F. A., Darko, A., Udeaja, C. E., Debrah, C., & Botchway, B. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2026.132940 · Cited by 2
Energy-Efficient Unmanned Underwater Vehicles Networking Design: A Topological Perspective
Qian, K. M., Wang, L., Wang, Y., Liu, N., & Su, Z. (2024) · International Conference on Communications · doi:10.1109/icc51166.2024.10622280 · Cited by 2
Self-citationExploring Digital Twin Dynamics: An Analysis of Structure Configurations
Melo, V., Barbosa, J., Pires, F., de la Prieta, F., & Leitão, P. (2024) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2024.09.135 · Cited by 2
Dynamic Task Scheduling for Digital Twins to Meet Telesurgery Real-Time Requirements
Ouda, H., Elgazzar, K., & Hassanein, H. S. (2024) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot62078.2024.10811351 · Cited by 2
Hong, W., Ji, Y., Liu, C., Li, Y., & Zhao, Z. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3569910 · Cited by 2
АНАЛІЗ ПРОГРАМНИХ ПЛАТФОРМ ДЛЯ СТВОРЕННЯ ЦИФРОВИХ ДВІЙНИКІВ В ГАЛУЗЯХ ЕКОНОМІКИ
Мержинський, Є., Бирський, В. В., & Хорошун, В. (2025) · Економіка та суспільство · doi:10.32782/2524-0072/2025-74-41 · Cited by 2
Metadata
- Authors
- Wang, Y., Su, Z., Guo, S., Dai, M., Luan, T. H., & Liu, Y.
- Affiliations
- Xi'an Jiaotong University (CN)
- University of Macau (MO)
- Venue
- IEEE Internet of Things Journal
- Published
- 2023-09-01
- Volume
- 10
- Issue
- 17
- Pages
- 14965-14987
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- 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
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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