Research on blockchain based data trading methods and platforms
- DOI
- 10.2991/978-94-6463-419-8_31How to use a DOI?
- Keywords
- blockchain; data transaction; smart contract; trust evaluation
- Abstract
The emergence of blockchain technology provides a more secure, transparent and efficient way for data transaction. In this paper, based on the analysis of the basic principles and application scenarios of blockchain technology, the design scheme of blockchain-based data transaction method and platform is proposed. The scheme adopts smart contract to achieve automation of data transaction, adopts the storage form combining ethereum and ipfs to ensure the security and reliability of data storage, handles high-frequency and small amount transactions in the side chain and important high-value transactions in the main chain in order to improve the efficiency, and in order to protect the privacy of the data, homomorphic encryption can be introduced to ensure the privacy and security of the data in the process of transaction. Finally, the feasibility and effectiveness of the scheme are verified by implementing a prototype system of an Ethernet-based data transaction platform.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zihan Wang AU - Jiqun Zhang PY - 2024 DA - 2024/05/07 TI - Research on blockchain based data trading methods and platforms BT - Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024) PB - Atlantis Press SP - 248 EP - 254 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-419-8_31 DO - 10.2991/978-94-6463-419-8_31 ID - Wang2024 ER -