Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2–4, 2023, Nanchang, China

Research Article

Exploration of Digital Intelligence for Personal Credit Sharing Platform Based on Blockchain Technology

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  • @INPROCEEDINGS{10.4108/eai.2-6-2023.2334669,
        author={Xin  Peng},
        title={Exploration of Digital Intelligence for Personal Credit Sharing Platform Based on Blockchain Technology},
        proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2023},
        month={8},
        keywords={blockchain; data sharing; personal credit reporting; digital intelligence},
        doi={10.4108/eai.2-6-2023.2334669}
    }
    
  • Xin Peng
    Year: 2023
    Exploration of Digital Intelligence for Personal Credit Sharing Platform Based on Blockchain Technology
    ICIDC
    EAI
    DOI: 10.4108/eai.2-6-2023.2334669
Xin Peng1,*
  • 1: Beijing City University
*Contact email: xinpeng@bcu.edu.cn

Abstract

The decentralized, untrusted, timestamp, asymmetric encryption and other features of blockchain support limited and controllable credit data sharing and verification while effectively collecting and protecting data privacy. The smart contract of blockchain has created conditions for the digital construction of personal credit sharing platforms. This article explores two modes of personal credit reporting business based on blockchain technology, At the same time, it is also pointed out that in the current situation, there are still situations such as inconsistent data collection standards and difficulties in data integration and sharing during the construction of personal credit sharing platforms, But there is no doubt that with the assistance of blockchain, the construction of digital intelligence has a very broad prospect for accelerating the sharing and co construction of personal credit data.