Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26–28, 2023, Nanjing, China

Research Article

Privacy Preserving Model Based on Zero-Knowledge Proof for International Food Trade Blockchain Platform

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  • @INPROCEEDINGS{10.4108/eai.26-5-2023.2334239,
        author={Yue  Li and Peiting  Xu and Yunfa  Huang and Zengjin  Liu},
        title={Privacy Preserving Model Based on Zero-Knowledge Proof for International Food Trade Blockchain Platform},
        proceedings={Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26--28, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2023},
        month={7},
        keywords={zero-knowledge proof blockchain pedersen commitment homomorphic encryption},
        doi={10.4108/eai.26-5-2023.2334239}
    }
    
  • Yue Li
    Peiting Xu
    Yunfa Huang
    Zengjin Liu
    Year: 2023
    Privacy Preserving Model Based on Zero-Knowledge Proof for International Food Trade Blockchain Platform
    MSEA
    EAI
    DOI: 10.4108/eai.26-5-2023.2334239
Yue Li1, Peiting Xu1,*, Yunfa Huang1, Zengjin Liu1
  • 1: Dong Hua University
*Contact email: peitingx@163.com

Abstract

In recent years, the business demand of international cold chain food trade has been increasing, but the process is complex, time-consuming, and there are data trust issues. This paper proposes a blockchain-based international cold chain trade platform system, which uses the immutable and traceable features of the blockchain to solve the problem of unreliable information in traditional systems. Aiming at the financing difficulties of small and medium-sized enterprises in international cold chain trade, this paper proposes a privacy protection scheme based on zero-knowledge proof. Through the blockchain platform, quickly use historical order information to analyze the operating conditions of small and medium-sized enterprises, and evaluate the amount of financing that small and medium-sized enterprises can obtain. It can reduce the problem of many financing steps and long cycle for small and medium-sized enterprises in the traditional financing model. Through the analysis of simulation results, the privacy protection scheme proposed in this paper can be implemented within an effective time.