Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

Research Article

Design and Implementation of Blockchain-based Commodity Anti-counterfeit Traceability System

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  • @INPROCEEDINGS{10.4108/eai.19-5-2023.2334270,
        author={Xiangyin  Meng and Bingbing  Liu and Miao  Zhang},
        title={Design and Implementation of Blockchain-based Commodity Anti-counterfeit Traceability System},
        proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2023},
        month={7},
        keywords={big data; blockchain; anti-counterfeit traceability; qr code; checking reliability},
        doi={10.4108/eai.19-5-2023.2334270}
    }
    
  • Xiangyin Meng
    Bingbing Liu
    Miao Zhang
    Year: 2023
    Design and Implementation of Blockchain-based Commodity Anti-counterfeit Traceability System
    ICBBEM
    EAI
    DOI: 10.4108/eai.19-5-2023.2334270
Xiangyin Meng1,*, Bingbing Liu1, Miao Zhang1
  • 1: Nanjing University of Aeronautics and Astronautics
*Contact email: mengxiangyin@nuaa.edu.cn

Abstract

With the booming development of big data technology, people pay more and more attention to the importance of data, and various big data analysis technologies have emerged; blockchain is widely used in anti-counterfeit traceability of commodities with its unique advantages, such as decentralization and non-tamper ability. Due to the popularity of anti-counterfeit traceability systems, more and more commodities support the function of checking authenticity; however, most of the current commodity checking systems do not make use of the data of historical checking, thus leading to unsatisfactory anti-counterfeit effects. In this paper, big data and blockchain technology are applied to the anti-counterfeiting and traceability system to give a unique code to each commodity and generate a corresponding QR code; when consumers scan the code to check, the system uses big data technology to calculate all the historical check records of the commodity and derive the reliability of this check. By setting the reliability threshold, we can achieve the purpose of anti-counterfeiting of commodities.