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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Survey of Healthcare Internet of Things (HIoT): A Clinical Perspective
Habibzadeh, H., Dinesh, K., Shishvan, O. R., Boggio-Dandry, A., Gaurav Sharma, A., & Soyata, T. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2946359 · Cited by 433
Ning, Z., Dong, P., Wang, X., Hu, X., Guo, L., Hu, B., Guo, Y., Qiu, T., & Kwok, R. Y. K. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3020645 · Cited by 381
ActiveTrust: Secure and Trustable Routing in Wireless Sensor Networks
Liu, Y., Dong, M., Ota, K., & Liu, A. (2016) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2016.2570740 · Cited by 351
Deep-Learning-Empowered Breast Cancer Auxiliary Diagnosis for 5GB Remote E-Health
Yu, K., Tan, L., Lin, L., Cheng, X., Zhang, Y., & Sato, T. (2021) · IEEE Wireless Communications · doi:10.1109/mwc.001.2000374 · Cited by 271
Self-citationMachine Learning Based Trust Computational Model for IoT Services
Jayasinghe, U., Lee, G. M., Um, T.-W., & Shi, Q. (2019) · IEEE Transactions on Sustainable Computing · doi:10.1109/tsusc.2018.2839623 · Cited by 256
Sun, Y., Liu, J., Yu, K., Alazab, M., & Lin, K. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3070544 · Cited by 210
Self-citationAn Efficient Ciphertext-Policy Weighted Attribute-Based Encryption for the Internet of Health Things
Li, H., Yu, K., Liu, B., Feng, C., Qin, Z., & Srivastava, G. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3075995 · Cited by 172
Self-citationDeebak, B. D., & Al-Turjman, F. M. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3020599 · Cited by 145
FTM-IoMT: Fuzzy-Based Trust Management for Preventing Sybil Attacks in Internet of Medical Things
Almogren, A., Mohiuddin, I., Din, I. U., Almajed, H., & Guizani, N. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3027440 · Cited by 116
A synergetic trust model based on SVM in underwater acoustic sensor networks
Han, G., He, Y., Jiang, J., Wang, N., Guizani, M., & Ansere, J. A. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2939179 · Cited by 106
Kumar, M., & Chand, S. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3006523 · Cited by 101
A Trust Cloud Model for Underwater Wireless Sensor Networks
Jiang, J., Han, G., Zhu, C., Chan, S., & Rodrigues, J. J. P. C. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1600502cm · Cited by 99
Fang, W., Zhang, W., Chen, W., Liu, Y., & Tang, C. (2019) · Wireless Networks · doi:10.1007/s11276-019-02129-w · Cited by 97
Distributed Artificial Intelligence Solution for D2D Communication in 5G Networks
Ioannou, I. I., Vassiliou, V., Christophorou, C., & Pitsillides, A. (2020) · IEEE Systems Journal · doi:10.1109/jsyst.2020.2979044 · Cited by 97
Jiang, J., Zhu, X., Han, G., Guizani, M., & Shu, L. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.2999566 · Cited by 93
Trust evaluation method for clustered wireless sensor networks based on cloud model
Zhang, T., Yan, L., & Yang, Y. (2016) · Wireless Networks · doi:10.1007/s11276-016-1368-y · Cited by 80
Distributed $H_\infty$ Estimation in Sensor Networks With Two-Channel Stochastic Attacks
Song, H., Shi, P. J., Zhang, W., Lim, C., & Yu, L. J. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2865238 · Cited by 74
Yang, L., Lu, Y., Yang, S. X., Guo, T., & Liang, Z. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3019286 · Cited by 71
Self-citationA Secure Group-Oriented Device-to-Device Authentication Protocol for 5G Wireless Networks
Shang, Z., Ma, M., & Li, X. (2020) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2020.3007702 · Cited by 67
Efficient Resource Allocation in SCMA-Enabled Device-to-Device Communication for 5G Networks
Sultana, A., Woungang, I., Anpalagan, A., Zhao, L. Y., & Ferdouse, L. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.2983569 · Cited by 47
Yang, L., Lu, Y., Liu, S., Guo, T., & Liang, Z. (2018) · IEEE Access · doi:10.1109/access.2018.2879360 · Cited by 45
Self-citationLiu, L., Xu, X., Liu, Y., Ma, Z., & Peng, J. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3047642 · Cited by 38
A fuzzy fully distributed trust management system in wireless sensor networks
Jadidoleslamy, H., Aref, M. R., & Bahramgiri, H. (2015) · AEU - International Journal of Electronics and Communications · doi:10.1016/j.aeue.2015.09.017 · Cited by 32
A neutrosophic WPM-based machine learning model for device trust in industrial internet of things
Khan, M. A., & Alghamdi, N. S. (2021) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-021-03431-2 · Cited by 29
Physical Layer Security in D2D Underlay Cellular Networks With Poisson Cluster Process
Lyu, J., Wang, H., & Huang, K.-W. (2020) · IEEE Transactions on Communications · doi:10.1109/tcomm.2020.3017287 · Cited by 19
Trust Management Method for Vehicular Ad Hoc Networks
Shaikh, R. A., & Alzahrani, A. S. (2013) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-642-37949-9_70 · Cited by 14
Hong, Z., Shao, Q., Liao, X., & Beyah, R. (2018) · Wireless Networks · doi:10.1007/s11276-018-01916-1 · Cited by 13
Cited by
Sorted by citations
Liang, S., Wu, H., Zhen, L., Hua, Q., Garg, S., Kaddoum, G., Hassan, M. M., & Yu, K. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3158253 · Cited by 367
Self-citationReal-Time Cloud-Based Patient-Centric Monitoring Using Computational Health Systems
Chakraborty, C., & Kishor, A. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3170375 · Cited by 148
Self-citationLu, Y., Yang, L., Yang, S. X., Hua, Q., Sangaiah, A. K., Guo, T., & Yu, K. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3186891 · Cited by 96
Self-citationPrivacy-preserving aware data aggregation for IoT-based healthcare with green computing technologies
Othman, S. B., Almalki, F. A., Chakraborty, C., & Sakli, H. (2022) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2022.108025 · Cited by 93
Self-citationChakraborty, C., Mishra, K., Majhi, S. K., & Bhuyan, H. K. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3173899 · Cited by 91
Self-citation
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
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 ›
Are you an author, or do you see a problem with this page? Request a review
