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IRS-Assisted Physical Layer Security for 5G Enabled Industrial Internet of Things

Authors :
Bakhtiar Ali
Jawad Mirza
Sajid Hussain Alvi
Mohammad Zubair Khan
Muhammad Awais Javed
Abdulfattah Noorwali
Source :
IEEE Access, Vol 11, Pp 21354-21363 (2023)
Publication Year :
2023
Publisher :
IEEE, 2023.

Abstract

5G is a key enabler of Industrial Internet of Things (IIoT) that provides seamless connectivity between machines, sensors and computing servers. Security and privacy are major concerns for 5G enabled IIoT. Physical Layer Security (PLS) is a promising technique that can enhance the security of 5G enabled IIoT. In this paper, we present an IRS-assisted PLS scheme for 5G enabled IIoT that improves the weighted secrecy sum-rate (WSSR) of the industrial wireless network, where eavesdroppers are present around the facility. The key idea is to jointly optimize active and passive beamforming vectors to increase the secrecy rate at the user. To maximize WSSR, we use the stable matching algorithm that optimally assigns IRSs for secure data sharing between industrial units. Simulation results show that the proposed scheme enhances the WSSR performance by 40% and minimum secrecy rate by 25% as compared to the random and maximum weight matching schemes, respectively.

Details

Language :
English
ISSN :
21693536
Volume :
11
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.bb6b96195074dee96110d04fdd5f69a
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2023.3250251