Journal's Facebook pageA Study of Identity Authentication Using Blockchain Technology in a 5G Multi-Type Network Environment
- Department of Information Management, Shih Hsin University
Taipei, Taiwan
kjhtw@mail.shu.edu.tw - Center of General Education, Shih Hsin University
Taipei, Taiwan
melyen@mail.shu.edu.tw - Department of Biomedical Engineering, National Yang Ming Chiao Tung University
Taipei, Taiwan
sheepkelly19.be11@nycu.edu.tw - Department and Graduate Institute of Finance, National Taipei University of Business
Taipei, Taiwan
weichen@ntub.edu.tw - Department of Information Management, Shih Hsin University
Taipei, Taiwan
htliaw@mail.shu.edu.tw - Department of Information Management, Shih Hsin University
Taipei, Taiwan
fan@mail.shu.edu.tw - Department of Information Management, Shih Hsin University
Taipei, Taiwan
i110925102@mail.shu.edu.tw
Abstract
The 5G technology, known for its large bandwidth, high speed, low latency, and multi-connection capabilities, significantly accelerates digital transformation in enterprises, especially in addressing factory automation challenges. It facilitates efficient machine-to-machine (M2M) and device-to-device (D2D) connectivity, ensuring rapid data transfer and seamless process convergence under 5G standards. Although 5G offers substantial communication and low latency benefits, its limited indoor coverage requires the deployment of decentralized antennas or small base stations. In contrast, Wi-Fi 6 seamlessly complements 5G, providing superior indoor mobile connectivity. This integration is crucial for businesses looking to accelerate digital transformation. To optimize 5G, the deployment of devices such as bypass switches, SDN switches, and MEC in the 5G Local Breakout network enables user access control and fast authentication. Real-world validation confirms the effectiveness of these measures, which are expected to lead to the future of 5G mobile networks.
Key words
Fifth-Generation Mobile Communication, Blockchain, Identity Authentication
Digital Object Identifier (DOI)
https://doi.org/10.2298/CSIS221115070K
Publication information
Volume 21, Issue 2 (April 2024)
Special Issue on Deep Learning Techniques in Intelligent Internet of Things and 5G Communication Networks
Year of Publication: 2024
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium
Full text
Available in PDF
Portable Document Format
How to cite
Kao, J., Yen, Y., Wu, W., Liaw, H., Fan, S., Kao, Y.: A Study of Identity Authentication Using Blockchain Technology in a 5G Multi-Type Network Environment. Computer Science and Information Systems, Vol. 21, No. 2, 507–524. (2024), https://doi.org/10.2298/CSIS221115070K
