Proceedings of the 2025 4th International Conference on Engineering Management and Information Science (EMIS 2025)

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A Trusted Transmission Method for Local Multiplexed Data in A Data Center Based on Cloud Computing

Authors
Haonan Guo1, Ziyi Guo1, Baisheng Liu2, *
1School of Business Administration, Liaoning Technical University, Huludao, 125000, China
2School of Software, Liaoning Technical University, Huludao, 125000, China
*Corresponding author. Email: 2120011013@stu.Intu.edu.cn
Corresponding Author
Baisheng Liu
Available Online 22 May 2025.
DOI
10.2991/978-94-6463-736-6_17How to use a DOI?
Keywords
Cloud computing; data center; multiplexing; trusted transmission; encryption technology
Abstract

With the rapid development of cloud computing technology, the trusted transmission method of local multiplexed data in the data center based on cloud computing has become a hot topic in current research. Traditional multiplexed data transmission methods have problems such as low channel utilization, complex equipment configuration, and poor transmission real-time performance. The trusted transmission method of local multiplexed data in the data center based on cloud computing integrates various types of data such as telemetry, remote control, and experimental data, fully utilizes channel resources, reduces hardware configuration, and improves the flexibility and reliability of transmission. This paper proposes a trusted transmission method of local multiplexed data in the data center based on cloud computing. By establishing a transmission model and adopting an encryption scheme combining symmetric and asymmetric encryption technologies, it optimizes data transmission allocation and ensures data security and integrity. Experimental results show that this method is significantly superior to traditional remote data transmission methods in terms of transmission rate and real-time performance, and is suitable for multiplexed data transmission scenarios. The research in this paper provides new ideas and methods for improving data transmission efficiency and security.

Copyright
© 2025 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 2025 4th International Conference on Engineering Management and Information Science (EMIS 2025)
Series
Advances in Computer Science Research
Publication Date
22 May 2025
ISBN
978-94-6463-736-6
ISSN
2352-538X
DOI
10.2991/978-94-6463-736-6_17How to use a DOI?
Copyright
© 2025 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  - Haonan Guo
AU  - Ziyi Guo
AU  - Baisheng Liu
PY  - 2025
DA  - 2025/05/22
TI  - A Trusted Transmission Method for Local Multiplexed Data in A Data Center Based on Cloud Computing
BT  - Proceedings of the 2025 4th International Conference on Engineering Management and Information Science (EMIS 2025)
PB  - Atlantis Press
SP  - 139
EP  - 148
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-736-6_17
DO  - 10.2991/978-94-6463-736-6_17
ID  - Guo2025
ER  -