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

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.