The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
An Intelligent Trust Cloud Management Method for Secure Clustering in 5G Enabled Internet of Medical Things
Open accessAbstract
5G edge computing enabled Internet of Medical Things (IoMT) is an efficient technology to provide decentralized medical services while device-to-device (D2D) communication is a promising paradigm for future 5G networks. To assure secure and reliable communication in 5G edge computing and D2D enabled IoMT systems, this article presents an intelligent trust cloud management method. First, an active training mechanism is proposed to construct the standard trust clouds. Second, individual trust clouds of the IoMT devices can be established through fuzzy trust inferring and recommending. Third, a trust classification scheme is proposed to determine whether an IoMT device is malicious. Finally, a trust cloud update mechanism is presented to make the proposed trust management method adaptive and intelligent under an open wireless medium. Simulation results demonstrate that the proposed method can effectively address the trust uncertainty issue and improve the detection accuracy of malicious devices.
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Citations
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Metadata
- Authors
- Yang, L., Yu, K., Yang, S. X., Chakraborty, C., Lu, Y., & Guo, T.
- Affiliations
- Chongqing University of Posts and Telecommunications (CN)
- Waseda University (JP)
- University of Guelph (CA)
- Birla Institute of Technology, Mesra (IN)
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2022-12
- Volume
- 18
- Issue
- 12
- Pages
- 8864-8875
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W3215141990
- Cited by
- 126
- References
- 27
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 17 · 2023: 26 · 2022: 65
- FWCI
- 12.11
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- IEEE Transactions on Industrial Informatics (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Funders
- National Natural Science Foundation of China (61801072)
- Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN202000641)
- Natural Science Foundation of Chongqing (cstc2020jcyj-msxmX0636)
- Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research (JP18K18044, JP21K17736)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Access Control and Trust
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- trust management, Internet of Medical Things, 5G edge computing, device-to-device communication, malicious device detection, trust classification, secure clustering
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