Research on the framework of collaborative sharing of credit data master-slave chain based on digital government

Yunxia Shao; Zhengduo Zhao; Xiaoye Sun; Huilin Wu; Song Tang; Bin Cheng

doi:10.1117/12.3034813

11 July 2024 Research on the framework of collaborative sharing of credit data master-slave chain based on digital government

Yunxia Shao, Zhengduo Zhao, Xiaoye Sun, Huilin Wu, Song Tang, Bin Cheng

Author Affiliations +

Proceedings Volume 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024); 132100X (2024) https://doi.org/10.1117/12.3034813
Event: Third International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2024, Wuhan, China

Abstract

The rapid development of digital technologies, such as big data and artificial intelligence, has led to the emergence of Internet-based platforms for government services and credit dissemination. These platforms have accumulated a vast amount of credit data. However, the current social credit system still faces issues such as opaque credit information, easily tampered data, and insufficient traceability. Our proposal uses blockchain technology to establish a digital government-based credit data-sharing framework (TCDSF). This framework provides a tamper-proof trust mechanism that enhances information transparency, reduces the cost of inter-organisational data sharing, and mitigates data security risks; To protect the credit subject's privacy during the trust collaboration process, we have designed a master-slave chain sharing and collaboration mechanism. This mechanism uses both on-chain and off-chain storage modes to reduce the storage pressure of distributed nodes and enhance flexibility and scalability; We ensure the security of shared data in the channel through role-based access control measures and an asymmetric encryption mechanism for credit data. Experiments have demonstrated that the framework is capable of providing continuous, efficient, and reliable management and traceability services, as well as efficient resource utilization and adaptable data processing and storage, compared to a single chain.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yunxia Shao, Zhengduo Zhao, Xiaoye Sun, Huilin Wu, Song Tang, and Bin Cheng "Research on the framework of collaborative sharing of credit data master-slave chain based on digital government", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 132100X (11 July 2024); https://doi.org/10.1117/12.3034813

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KEYWORDS

Blockchain

Data storage

Computer security

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Data modeling

Data processing

Data privacy

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