# An Intelligent Trust Cloud Management Method for Secure Clustering in 5G enabled Internet of Medical Things

arXiv: https://arxiv.org/abs/2207.09057 · HTML: https://mlsanity.com/paper/2207.09057/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 27 references that are in the map.
- First posted on arXiv 19 Jul 2022.

## Builds on (most cited first, 1 of 1)

- [Distributed Artificial Intelligence Solution for D2D Communication in 5G Networks](https://mlsanity.com/paper/2001.05232/) (2020)

## Built on by (most cited first, 1 of 1)

- [Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach](https://mlsanity.com/paper/2502.09624/) (2025)

## Abstract (arXiv)

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 paper presents an intelligent trust cloud management method. Firstly, an active training mechanism is proposed to construct the standard trust clouds. Secondly, individual trust clouds of the IoMT devices can be established through fuzzy trust inferring and recommending. Thirdly, 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.