Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

Research Article

E-commerce Credit Evaluation Model Based on Blockchain

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  • @INPROCEEDINGS{10.4108/eai.27-10-2023.2341905,
        author={Wenxia  Tong and Rui  Zhang and Huijian  Han},
        title={E-commerce Credit Evaluation Model Based on Blockchain},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27--29, 2023, Tianjin, China},
        publisher={EAI},
        proceedings_a={ICEMBDA},
        year={2024},
        month={1},
        keywords={blockchain smart contract nash equilibrium},
        doi={10.4108/eai.27-10-2023.2341905}
    }
    
  • Wenxia Tong
    Rui Zhang
    Huijian Han
    Year: 2024
    E-commerce Credit Evaluation Model Based on Blockchain
    ICEMBDA
    EAI
    DOI: 10.4108/eai.27-10-2023.2341905
Wenxia Tong1, Rui Zhang1,*, Huijian Han2
  • 1: Shandong University of Finance and Economics
  • 2: Shandong Key Laboratory of Blockchain in Finance
*Contact email: zhchchao@sina.com

Abstract

As an emerging technology, blockchain is gradually integrating with various application scenarios. In view of the situation that the credit status is not true in the scenario of C2C e-commerce, according to the existing problems, a blockchain-based game theory and smart contract credit evaluation model are constructed. In the evaluation model, through the design of the payment function, the raters are encouraged, and the honest raters will be guaranteed to obtain benefits. The principle of equilibrium in game theory is adopted to ensure the honesty of the scorer. In addition, a random sorting algorithm is proposed to make the selection of scorers as random and credible as possible to avoid collusion in advance. Finally, an audit mechanism is introduced to detect malicious scorers.