Applied and Computational Engineering

- The Open Access Proceedings Series for Conferences


Proceedings of the 5th International Conference on Computing and Data Science

Series Vol. 17 , 23 October 2023


Open Access | Article

Research analysis of blockchain IOT domain according to knowledge graph

Sihan Yu * 1
1 Fujian Normal University

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 17, 105-110
Published 23 October 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Sihan Yu. Research analysis of blockchain IOT domain according to knowledge graph. ACE (2023) Vol. 17: 105-110. DOI: 10.54254/2755-2721/17/20230912.

Abstract

The purpose of this paper is to analyze and organize the research in the field of Blockchain Internet of Things (BIoT) using knowledge mapping technology, in order to get a more comprehensive understanding of the research status and development trend in this field. By organizing and statistically analyzing the relevant literature in the field of blockchain IoT, information on keywords, topics, and hot issues of research in this field is obtained and presented in a visual way. At the same time, this paper also provides an in-depth analysis of the research in the field of blockchain IoT, including technical applications, development trends and other aspects. The research results show that the research in the field of blockchain IoT shows a rapid development trend and has received wide attention from academia and industry sectors. In terms of technical applications, the combination of blockchain technology and IoT technology has brought new ideas and technical means for the development of BIoT field. Meanwhile, with the application of knowledge graph technology, the research in the BIoT field has gradually developed in a more refined and in-depth direction. This study has certain reference value and practical significance for the research in the field of blockchain IoT, and can provide more scientific and accurate guidance for the development and application of this field.

Keywords

knowledge graph, blockchain, Internet of things

References

1. Liu W. 2022. Research on data screening and transaction sorting service for the integration of blockchain and Internet of Things. Thesis of Shandong University.

2. Wu Y. 2021. Research on key technologies of blockchain-based IoT application system. Thesis of University of Science and Technology of China.

3. Wan C. 2021. Blockchain application in edge computing and IoT security. Electronic Technology and Software Engineering, 14:246-247.

4. Li, J., Zhao K., Qu T., et al. 2021. Research analysis of blockchain IoT domain based on knowledge graph. Computer Science, 48(S1):563-567.

5. Li Y. 2021. Analysis of the application of blockchain technology in the field of information security of Internet of Things. Network Security Technology and Applications, 06:17-18.

6. Lu Y., Mao Z., Qiu Z. 2021. Review of the development and application of blockchain technology in the field of energy IoT. Guangdong Electric Power, 34(07):1-12.

7. Yao Z., Pan H., Zhu W., et al. 2021. Blockchain IoT convergence: research status and outlook. Journal of Applied Sciences, 39(01):174-184.

8. Ma Q. 2020. Reflections on the application of blockchain technology in IoT security-related fields. Science and Technology Wind, 11:109.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 5th International Conference on Computing and Data Science
ISBN (Print)
978-1-83558-025-7
ISBN (Online)
978-1-83558-026-4
Published Date
23 October 2023
Series
Applied and Computational Engineering
ISSN (Print)
2755-2721
ISSN (Online)
2755-273X
DOI
10.54254/2755-2721/17/20230912
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated