Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

Internet of Things Data Security Management System and Method Based on Zero Trust

Authors
Qianqian Zhang1, Guining Geng2, Zhiyuan Wang3, *
1School of Information, Beijing Wuzi University, 321 Fuhe Street, Tongzhou District, Beijing, China, 101149
2Beijing Qihoo Technology corporation, 360 Digital Security Technology corporation, Building 2, Courtyard 6, Jiuxianqiao Road, Chaoyang District, Beijing, China
3School of Information Science and Engineering, Linyi University, West side of North Section of Industrial Avenue in Lanshan District, Linyi, China, 276000
*Corresponding author. Email: 15725191054@163.com
Corresponding Author
Zhiyuan Wang
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_49How to use a DOI?
Keywords
Internet of Things data security management; zero trust; security level range; authentication method
Abstract

With the wide application of Internet of Things (IoT) devices and sensors, a large amount of IoT data is collected and analyzed. In the existing Internet of Things data security management technology, there is a problem that the same authentication method is adopted for the authentication information and cannot be judged according to the authentication time, which affects the authentication efficiency and data security. In order to solve these problems, a zero-trust-based IoT data security management system and method are proposed. The method includes the steps of acquiring information to be authenticated, marking authentication information, acquiring authentication times and authentication time, analyzing based on the times and time, dividing security authentication, storing authenticated information, and the like. Combined with the idea of zero trust, by storing authenticated information, the authentication process can be effectively managed, and the credibility and security of data can be improved. In the information authentication process, through verification with the stored authentication information, the number of authentications is obtained, and the security level interval is obtained according to the number of authentications and the authentication time, and then a suitable authentication scheme is selected to effectively improve the authentication efficiency.

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 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-262-0_49
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_49How 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

TY  - CONF
AU  - Qianqian Zhang
AU  - Guining Geng
AU  - Zhiyuan Wang
PY  - 2023
DA  - 2023/10/09
TI  - Internet of Things Data Security Management System and Method Based on Zero Trust
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 459
EP  - 471
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_49
DO  - 10.2991/978-94-6463-262-0_49
ID  - Zhang2023
ER  -