Issue |
ITM Web Conf.
Volume 56, 2023
First International Conference on Data Science and Advanced Computing (ICDSAC 2023)
|
|
---|---|---|
Article Number | 06004 | |
Number of page(s) | 7 | |
Section | Networks & Information Security | |
DOI | https://doi.org/10.1051/itmconf/20235606004 | |
Published online | 09 August 2023 |
An encryption-encoding architecture for security enhancement in 5G communication networks
1 Dept. of ETC Engineering, V.S.S. University of Technology, Sambalpur, Odisha, India
2 Dept. of ETC Engineering, I. G. Institute of Technology, Saranga, Odisha, India
* Corresponding author: anweshadas3939@gmail.org
This article introduces a hybrid architecture of cryptography and coding technique to provide security in 5G communication networks. There are various types of attacks in 5G communication systems. Apart from contemporary attacks, we refer some of the peculiar attacks including DOS, DDOS, bot attack, Mantis Botnet, Mirai Botnet etc. These attacks jeopardize the security systems. To overcome the situation, we propose an architecture, which makes use of modified DES encryption followed by Hamming code. In transmitter section, the 256-bit input data is encrypted by 224-bit cipher key, which is then encoded with Hamming code (448, 256) to produce 448-bit of encrypted data. The reverse scheme is applicable in receiver section. We have used Xilinx software to simulate the proposed model. Simulation results show that the duration of both the encryption and encoding are in nano seconds. The intruders shall get very less time to interfere. Therefore, the proposed architecture shall improve the security in current 5G communication systems.
Key words: Bot attack / cryptography / DES / DOS / DDOS / encryption / interim text / Hamming Code / Xilinx software
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.