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数据驱动的区块链框架下政府部门间信息共享

肖炯恩 洪明 丁丽萍

控制理论与应用2024,Vol.41Issue(8):1369-1376,8.
控制理论与应用2024,Vol.41Issue(8):1369-1376,8.DOI:10.7641/CTA.2023.220718

数据驱动的区块链框架下政府部门间信息共享

Inter-agency government information sharing under data-driven blockchain framework

肖炯恩 1洪明 2丁丽萍3

作者信息

  • 1. 广东财经大学国际商学院,广东广州 510320||广州软件应用技术研究院电子取证实验室,广东广州 511400
  • 2. 华南理工大学电子商务系,广东广州 510641
  • 3. 中国科学院软件研究所,北京 100190||广州软件应用技术研究院电子取证实验室,广东广州 511400
  • 折叠

摘要

Abstract

The inter-agency government information sharing(IAGIS)plays an important role in improving service and efficiency of government agencies.Currently,there is still no effective and secure way for data-driven IAGIS to fulfill dynamic demands of information sharing between government agencies.Motivated by blockchain and data mining,a data-driven framework is proposed for IAGIS in this paper.Firstly,the blockchain is used as the core to design the whole framework for monitoring and preventing leakage and abuse of government information,in order to guarantee information security.Secondly,a four-layer architecture is designed for implementing the proposed framework.Thirdly,the classical data mining algorithms PageRank and Apriori are applied to dynamically design smart contracts for information sharing,for the purposed of flexibly adjusting the information sharing strategies according to the practical demands of government agencies for public management and public service.Finally,a case study is presented to illustrate the operation of the proposed framework.

关键词

政府数据处理/区块链/PageRank/apriori

Key words

government data processing/blockchain/PageRank/apriori

引用本文复制引用

肖炯恩,洪明,丁丽萍..数据驱动的区块链框架下政府部门间信息共享[J].控制理论与应用,2024,41(8):1369-1376,8.

基金项目

Supported by the Project of Guangdong Science and Technology Department(2020B010166005),the Post-Doctoral Research Project(Z000158),the Ministry of Education Social Science Fund(22YJ630167),the Fund project of Department of Science and Technology of Guangdong Province(GDK TP2021032500)and the Guangdong Philosophy and Social Science(GD22YYJ15). (2020B010166005)

控制理论与应用

OA北大核心CSTPCD

1000-8152

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