Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Business and Policy Studies
Series Vol. 9 , 13 September 2023
Open
Access | Article
A Survey of Using Blockchain to Build a Decentralized and Trustless Marketplace for Brokered IoT Data Trading
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Abstract
As the data market becomes ubiquitous, it is necessary to study the data streams generated by Internet of Things (IoT) devices. For example, nowadays, security problems are crucial to the process of data transaction. Due to the decentralization of blockchain and difficult data tampering, blockchain can well solve the security problems in data transaction. However, the transaction efficiency of blockchain can hardly meet the current market due to latency and other problems. This article mainly reviews existing research on blockchain and IoT data and put forward possible solutions for dealing with some of the current problems. The present study is mainly divided into three parts, including the classification of research problems, research methods, and the classification of experiments. The main research questions are about insufficient functionality and poor performance on the Internet of Things and data markets. In addition to the discussion on whether to use blockchain, this article also proposes some feasible research directions for future research.
Keywords
blockchain, IoT, data marketplace, Ethereum
References
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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 2nd International Conference on Business and Policy Studies
- ISBN (Print)
- 978-1-915371-45-4
- ISBN (Online)
- 978-1-915371-46-1
- Published Date
- 13 September 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/9/20230351
- Copyright
- 13 September 2023
- 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