Blockchain Technology Research and Application: A Literature Review and Future Trends
DOI:
https://doi.org/10.47852/bonviewJDSIS32021403Keywords:
blockchain, federated learning, Internet of Things (IoT), intelligent transportation, reinforcement learning, smart gridAbstract
Blockchain, as the foundation for cryptocurrencies, has recently garnered significant attention. It serves as an immutable distributed ledger technology, which allows transactions to be carried out reliably in a decentralized environment. Blockchain-based applications are emerging, covering numerous fields, including financial services, reputation systems, the Internet of Things, and more. However, blockchain technology still faces several challenges, such as scalability, security, and other unresolved issues that need to be overcome. This article provides a comprehensive overview of blockchain technology and its applications. We commence with a summary of the development of blockchain, followed by an examination of the blockchain architecture and a systematic review of the research and application of blockchain technology in different fields from the perspectives of academic research and industry technology. Additionally, we briefly outline the technical challenges and recent developments. We also explore possible future trends in blockchain.
Received: 24 July 2023 | Revised: 15 September 2023 | Accepted: 10 October 2023
Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.
Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
Author Contribution Statement
Min An: Conceptualization, Methodology, Software, Formal analysis, Writing - original fraft, Writing - review & editing, Visualization, Supervision, Project administration, Funding acquisition. Qiyuan Fan: Methodology, Resources, Supervision. Hao Yu: Methodology. Bo An: Conceptualization, Software, Data curation. Nannan Wu: Conceptualization, Data curation, Visualization, Project administration. Haiyang Zhao: Methodology, Validation, Resources. Xinhao Wan: Validation, Investigation. Jiaxuan Li: Validation, Investigation. Rui Wang: Validation, Investigation. Jingyu Zhen: Software, Formal analysis. Qinyan Zou: Software, Formal analysis. Bin Zhao: Software, Formal analysis.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.