UM
Residential Collegefalse
Status已發表Published
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects
Wang,Yuntao1; Su,Zhou1; Guo,Shaolong1; Dai,Minghui2; Luan,Tom H.1; Liu,Yiliang1
2023
Source PublicationIEEE Internet of Things Journal
AbstractBy interacting, synchronizing, and cooperating with its physical counterpart in real time, digital twin 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 digital twins (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 hinders 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 paper 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.
Keywordartificial intelligence blockchain Digital twins Internet Internet of digital twins Internet of Things privacy Privacy security Security semantic communication Semantics Synchronization
DOI10.1109/JIOT.2023.3263909
URLView the original
Language英語English
Scopus ID2-s2.0-85153393414
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China
2.State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China
Recommended Citation
GB/T 7714
Wang,Yuntao,Su,Zhou,Guo,Shaolong,et al. A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects[J]. IEEE Internet of Things Journal, 2023.
APA Wang,Yuntao., Su,Zhou., Guo,Shaolong., Dai,Minghui., Luan,Tom H.., & Liu,Yiliang (2023). A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects. IEEE Internet of Things Journal.
MLA Wang,Yuntao,et al."A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects".IEEE Internet of Things Journal (2023).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang,Yuntao]'s Articles
[Su,Zhou]'s Articles
[Guo,Shaolong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang,Yuntao]'s Articles
[Su,Zhou]'s Articles
[Guo,Shaolong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang,Yuntao]'s Articles
[Su,Zhou]'s Articles
[Guo,Shaolong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.