Reconfigurable Intelligent Surface for Physical Layer Security in 6G-IoT: Designs, Issues, and Advances

被引:20
|
作者
Khalid, Waqas [1 ]
Rehman, Muhammad Atif Ur [2 ]
Chien, Trinh Van [3 ]
Kaleem, Zeeshan [4 ,5 ]
Lee, Howon [6 ,7 ]
Yu, Heejung [8 ]
机构
[1] Korea Univ, Inst Ind Technol, Sejong 30019, South Korea
[2] Manchester Metropolitan Univ, Dept Comp & Math, Manchester M15 6BH, England
[3] Hanoi Univ Sci & Technol HUST, Sch Informat & Commun Technol SoICT, Hanoi 100000, Vietnam
[4] COMSATS Univ Islamabad, Dept Elect & Comp Engn, Wah Campus, Rawalpindi 47040, Pakistan
[5] Islamic Univ, Ctr Sci Res, Najaf 54001, Iraq
[6] Hankyong Natl Univ, Sch Elect & Elect Engn, Anseong 17579, South Korea
[7] Hankyong Natl Univ, IITC, Anseong 17579, South Korea
[8] Korea Univ, Dept Elect & Informat Engn, Sejong 30019, South Korea
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 02期
基金
新加坡国家研究基金会;
关键词
Internet of Things (IoT); physical layer security (PLS); reconfigurable intelligent surface (RIS); sixth-generation (6G); REFLECTING SURFACE; ARTIFICIAL NOISE; POWER ALLOCATION; COMMUNICATION; ENHANCEMENT; NOMA; 6G;
D O I
10.1109/JIOT.2023.3297241
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Sixth-generation (6G) networks pose substantial security risks because confidential information is transmitted over wireless channels with a broadcast nature, and various attack vectors emerge. Physical layer security (PLS) exploits the dynamic characteristics of wireless environments to provide secure communications, while reconfigurable intelligent surfaces (RISs) can facilitate PLS by controlling wireless transmissions. With RIS-aided PLS, a lightweight security solution can be designed for low-end Internet of Things (IoT) devices, depending on the design scenario and communication objective. This article discusses RIS-aided PLS designs for 6G-IoT networks against eavesdropping and jamming attacks. The theoretical background and literature review of RIS-aided PLS are discussed, and design solutions related to resource allocation, beamforming, artificial noise, and cooperative communication are presented. We provide simulation results to show the effectiveness of RIS in terms of PLS. In addition, we examine the research issues and possible solutions for RIS modeling, channel modeling and estimation, optimization, and machine learning. Finally, we discuss recent advances, including simultaneous transmitting and reflecting-RIS and malicious RIS.
引用
收藏
页码:3599 / 3613
页数:15
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