Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

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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_14How 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.

Copyright
© 2023 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 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
978-94-6463-276-7
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_14How to use a DOI?
Copyright
© 2023 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  - 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  -