A trading matching model for aquatic products based on blockchain and credit mechanisms

Wenjuan Wang; Deqiang Teng; Ming Chen; Yan Ge; Yibo Zou; Wenjuan Wang; Deqiang Teng; Ming Chen; Yan Ge; Yibo Zou

doi:10.3934/mbe.2023874

Mathematical Biosciences and Engineering

2023, Volume 20, Issue 11: 19732-19762. doi: 10.3934/mbe.2023874

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Research article Special Issues

A trading matching model for aquatic products based on blockchain and credit mechanisms

College of Information Technology, Shanghai Ocean University, Key Laboratory of Fisheries Information, Ministry of Agriculture, Shanghai 201306, China

Academic Editor: Giuseppe Aiello

Received: 18 July 2023 Revised: 24 September 2023 Accepted: 10 October 2023 Published: 27 October 2023

Current online transactions of aquatic products are often plagued by problems such as low efficiency, high platform supervision cost, insufficient trust and leakage of transaction data. Blockchain has been widely used in many different fields due to its decentralization, non-tampering and distributed data management. In order to resolve the existing problems, a blockchain-based aquatic product trading matching model integrated with credit mechanisms is proposed in this study to improve the efficiency, quality, security and satisfaction of online transactions for aquatic products. Then, based on this model, an online trading matching prototype system for aquatic products is developed, taking the Hyperledger Fabric as the underlying architecture. The performance testing of the prototype system has demonstrated that the introduction of the credit mechanism has a certain improvement effect on the trading matching results of aquatic products, and the system can complete more than 1000 transactions within half an hour, which can satisfy the normal business-to-business online transaction needs for aquatic products. To a certain extent, it can reduce the security risks and supervision cost, and improve the efficiency and satisfaction of online transaction. This study can also bring insights to blockchain-based online trading models in other industry fields.
- blockchain,
- online transaction,
- trading matching,
- aquatic products,
- credit mechanism
Citation: Wenjuan Wang, Deqiang Teng, Ming Chen, Yan Ge, Yibo Zou. A trading matching model for aquatic products based on blockchain and credit mechanisms[J]. Mathematical Biosciences and Engineering, 2023, 20(11): 19732-19762. doi: 10.3934/mbe.2023874

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Abstract

Current online transactions of aquatic products are often plagued by problems such as low efficiency, high platform supervision cost, insufficient trust and leakage of transaction data. Blockchain has been widely used in many different fields due to its decentralization, non-tampering and distributed data management. In order to resolve the existing problems, a blockchain-based aquatic product trading matching model integrated with credit mechanisms is proposed in this study to improve the efficiency, quality, security and satisfaction of online transactions for aquatic products. Then, based on this model, an online trading matching prototype system for aquatic products is developed, taking the Hyperledger Fabric as the underlying architecture. The performance testing of the prototype system has demonstrated that the introduction of the credit mechanism has a certain improvement effect on the trading matching results of aquatic products, and the system can complete more than 1000 transactions within half an hour, which can satisfy the normal business-to-business online transaction needs for aquatic products. To a certain extent, it can reduce the security risks and supervision cost, and improve the efficiency and satisfaction of online transaction. This study can also bring insights to blockchain-based online trading models in other industry fields.

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