期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Inter-agency government information sharing under data-driven blockchain framework 被引量:1
1
作者 XIAO Jiong-en HONG Ming DING Li-ping 《控制理论与应用》 EI CAS CSCD 北大核心 2024年第8期1369-1376,共8页
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 fu... 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. 展开更多
关键词 government data processing blockchain PAGERANK APRIORI
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部