Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Research on Data Privacy Protection Strategies Based on Artificial Intelligence

Authors
Jun Yang1, *, Qiukai Ye1, Jiujiang Han1, Ming Xian1
1College of Electronic Science and Technology, National University of Defense Technology, Changsha, 410073, China
*Corresponding author. Email: 779753251@qq.com
Corresponding Author
Jun Yang
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_41How to use a DOI?
Keywords
data privacy; WOS; artificial intelligence
ABSTRACT

With the rapid development of big data and artificial intelligence, the importance and urgency of data privacy protection issues have become increasingly prominent, making it a hot research area worldwide. However, the future research directions and hot topics in this field are not yet clear. To this end, this article uses the Web of Science core collection as the data source and uses bibliometrics to visually analyze 1395 related literature on artificial intelligence and data privacy protection, including quantitative analysis of articles, co-citation analysis, and keyword co-occurrence analysis. The results show that although China started relatively late in this field, it has developed rapidly and has become the country with the highest number of publications. The latest research hotspots in the field of data privacy protection focus on blockchain, edge computing and federated learning.

Copyright
© 2024 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 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
10.2991/978-94-6463-264-4_41
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_41How to use a DOI?
Copyright
© 2024 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  - Jun Yang
AU  - Qiukai Ye
AU  - Jiujiang Han
AU  - Ming Xian
PY  - 2023
DA  - 2023/09/28
TI  - Research on Data Privacy Protection Strategies Based on Artificial Intelligence
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 371
EP  - 379
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_41
DO  - 10.2991/978-94-6463-264-4_41
ID  - Yang2023
ER  -