Public Data Security Risk Prevention Research

Yingxue Zhao; Ge Hu; Jianhua Zhu; Nan Li; Denghua Hou

doi:10.2991/978-94-6463-276-7_14

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Public Data Security Risk Prevention Research

Authors

Yingxue Zhao¹^{, 2}, Ge Hu³, Jianhua Zhu⁴, Nan Li⁵, Denghua Hou⁶^{, *}

¹The Fifth Procuratorate Department, Huairou District People’s Procuratorate, Beijing, China

²School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, China

³School of Grammar, University of Science and Technology Beijing, Beijing, China

⁴School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing, China

⁵China Automotive Battery Research Institute, Beijing, China

⁶University of Science and Technology Beijing, Beijing, China

^*Corresponding author. Email: 396556388@qq.com

Corresponding Author

Denghua Hou

Available Online 27 October 2023.

DOI: 10.2991/978-94-6463-276-7_14 How to use a DOI?
Keywords: Public Data; Security Risk Prevention; Open Sharing of Public Data
Abstract: This study analyzes and compares the domestic and foreign public data open-sharing cases involving the confirmation of rights, privacy, intellectual property rights, and other types of cases by examining the concept of public data open sharing and the current status of legislation, as well as the links and roles of the data life cycle they belong to, and analyzes the risks and challenges faced in depth. It also proposes countermeasures for public data security risk regulation from five perspectives, including targeted individuals, enterprises, governments, countries, and global governance.
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 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series: Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date: 27 October 2023
ISBN: 10.2991/978-94-6463-276-7_14
ISSN: 2667-128X
DOI: 10.2991/978-94-6463-276-7_14 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Yingxue Zhao
AU  - Ge Hu
AU  - Jianhua Zhu
AU  - Nan Li
AU  - Denghua Hou
PY  - 2023
DA  - 2023/10/27
TI  - Public Data Security Risk Prevention Research
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 117
EP  - 125
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_14
DO  - 10.2991/978-94-6463-276-7_14
ID  - Zhao2023
ER  -

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