| Title | Trusted Model Based on Multi-dimensional Attributes in Edge Computing |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Zhu, Jinhui, Chen, Liangdong, Liu, Xiantong, Zhao, Lincong, Shen, Peipei, Chen, Jinghan |
| Conference Name | 2021 2nd Asia Symposium on Signal Processing (ASSP) |
| Keywords | Adaptation models, composability, Computational modeling, Computing Theory, Data models, edge computing, Human Behavior, Internet of Things, Memory, multi-dimensional attributes, pubcrawl, reliability theory, resilience, Resiliency, Servers, Trust, trust evaluation, trusted model |
| Abstract | As a supplement to the cloud computing model, the edge computing model can use edge servers and edge devices to coordinate information processing on the edge of the network to help Internet of Thing (IoT) data storage, transmission, and computing tasks. In view of the complex and changeable situation of edge computing IoT scenarios, this paper proposes a multi-dimensional trust evaluation factor selection scheme. Improve the traditional trusted modeling method based on direct/indirect trust, introduce multi-dimensional trusted decision attributes and rely on the collaboration of edge servers and edge device nodes to infer and quantify the trusted relationship between nodes, and combine the information entropy theory to smoothly weight the calculation results of multi-dimensional decision attributes. Improving the current situation where the traditional trusted assessment scheme's dynamic adaptability to the environment and the lack of reliability of trusted assessment are relatively lacking. Simulation experiments show that the edge computing IoT multi-dimensional trust evaluation model proposed in this paper has better performance than the trusted model in related literature. |
| DOI | 10.1109/ASSP54407.2021.00022 |
| Citation Key | zhu_trusted_2021 |
Trusted Model Based on Multi-dimensional Attributes in Edge Computing