Research on data schema and security in data governance

Chaohui MA; Ruihua NIE; Haoxiang TAN; Jiaming LIN; Xinming WANG; Hua TANG; Jinji YANG; Gansen ZHAO

doi:10.11959/j.issn.2096-0271.2016033

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Research on data schema and security in data governance

STUDY | 更新时间：2024-06-03

- Research on data schema and security in data governance
- BIG DATA RESEARCH Vol. 2, Issue 3, Pages: 2016033(2016)
- 作者机构：
  
  1. 华南师范大学计算机学院，广东广州 510630
  2. 华南师范大学软件学院，广东佛山 528225
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2016033
  CLC： TP391
- Online First：2016-05，
  
  Published：20 May 2016
- 稿件说明：
移动端阅览
Chaohui MA, Ruihua NIE, Haoxiang TAN, et al. Research on data schema and security in data governance[J]. BIG DATA RESEARCH, 2016, 2(3): 2016033.
DOI：

Chaohui MA, Ruihua NIE, Haoxiang TAN, et al. Research on data schema and security in data governance[J]. BIG DATA RESEARCH, 2016, 2(3): 2016033. DOI： 10.11959/j.issn.2096-0271.2016033.

摘要

大数据治理的主要目的是使数据的利用价值和利用效率最大化，治理后的数据在利用过程中也不可避免会涉及敏感数据或者隐私数据。从大数据治理出发，基于实际应用案例，讨论大数据治理过程中如何利用数据模式的重组实现数据价值的提升和数据处理效率的提升。同时，也提出了数据安全访问策略的自动生成，保障数据在重组后得到相应的安全防护。

Abstract

One of the key objectives of big data governance is to maximize the value and efficiency of data usage.It is less than possible to privacy while processing data that has been subjected to data governance.With case study

the way to improve data value and data processing efficiency by re-construct data schemas was investigated.A mechanism for calculating new access control policies was also presented.The generated access control policies could provide appropriate security protection over reconstructed data.

关键词

Keywords

references

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