Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

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Research on Geological Data Security Governance System

Authors
Xiaohong Wu1, 2, *, Yi Yue1, 2, Renbing Gao3
1Command Center for Integrated Natural Resources Survey, China Geological Survey, Beijing, China
2Development Research Center, China Geological Survey, Beijing, China
3Yantai Coastal Zone Geological Survey Center, China Geological Survey, Shandong, China
*Corresponding author. Email: wxiaohong@mail.cgs.gov.cn
Corresponding Author
Xiaohong Wu
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_9How to use a DOI?
Keywords
data security; data governance; big data; geological cloud
Abstract

Data is an important asset of an enterprise and a national basic strategic resource. Data security issues are increasingly prominent in the era of big data. Strengthening data security governance is not only an objective requirement of national supervision, but also a subjective requirement for the development of the data industry itself. Based on the practice of geological data security governance, proposes a geological data security governance framework consisting of a security management system, a technical system and an operation & maintanance system, and expounds the five steps of geological data security governance: asset sorting and evaluation, system construction, data classification, technical control and strategy optimization. Looks forward to the technological evolution of data security governance: scenario-based security protection, password-based data protection, and the use of artificial intelligence and other new technologies to optimize security solutions.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
978-94-6463-108-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_9How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaohong Wu
AU  - Yi Yue
AU  - Renbing Gao
PY  - 2022
DA  - 2022/12/30
TI  - Research on Geological Data Security Governance System
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 67
EP  - 74
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_9
DO  - 10.2991/978-94-6463-108-1_9
ID  - Wu2022
ER  -