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

被引：11
作者：
Ali, Bakhtiar [1 ]
Mirza, Jawad [1 ]
Alvi, Sajid Hussain [2 ]
Khan, Mohammad Zubair [3 ]
Javed, Muhammad Awais [1 ]
Noorwali, Abdulfattah [4 ]
机构：
[1] COMSATS Univ Islamabad, Dept Elect & Comp Engn, Islamabad 45550, Pakistan
[2] COMSATS Univ Islamabad, Dept Phys, Islamabad 45550, Pakistan
[3] Taibah Univ, Dept Comp Sci & Informat, Medina 42353, Saudi Arabia
[4] Umm Al Qura Univ, Dept Elect Engn, Mecca 21961, Saudi Arabia
来源：
IEEE ACCESS | 2023年 / 11卷
关键词：
Industrial Internet of Things; 5G mobile communication; Array signal processing; Security; Optimization; Wireless communication; MISO communication; Omni-IRS; MISO; secrecy rate; stable matching; WIRELESS NETWORKS; AUTHENTICATION; TRANSMISSION; SYSTEM;
D O I：
10.1109/ACCESS.2023.3250251
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：21354 / 21363
页数：10
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