Physical layer security analysis for RIS-aided NOMA systems with non-colluding eavesdroppers

• Published in: Computer communications Vol. 219; pp. 194 - 203
• Main Authors: Le, Anh-Tu, Hieu, Tran Dinh, Nguyen, Tan N., Le, Thanh-Lanh, Nguyen, Sang Quang, Voznak, Miroslav
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.04.2024
• Subjects: Internet of things (IoTs); Non-concluding eavesdropper; Non-orthogonal multiple access (NOMA); Physical layer security (PLS); Reconfigurable intelligent surfaces (RIS); Physical layer security (PLS); Non-concluding eavesdropper; Reconfigurable intelligent surfaces (RIS); Internet of things (IoTs); Non-orthogonal multiple access (NOMA)
• ISSN: 0140-3664; 1873-703X
• DOI: 10.1016/j.comcom.2024.03.011

Within the realm of sixth-generation (6G) wireless systems, there exist two primary imperatives: establishing massive connections and ensuring robust data transmission security. Therefore, this paper delves into the realm of physical layer security (PLS) within the context of a reconfigurable intelligent surface (RIS)-assisted Non-Orthogonal Multiple Access (NOMA) network coupled with the Internet of Things (IoTs), while addressing the challenge of non-concluding eavesdroppers. Specifically, the utilization of NOMA technology is anticipated to yield a substantial enhancement in spectrum efficiency for 6G and forthcoming wireless networks. Furthermore, this study investigates the security aspects through metrics such as the secrecy outage probability (SOP) and the average secrecy capacity (ASC), with the derivation of closed-form approximations for these metrics. Based on these mathematical expressions, we unveil the asymptotic Secrecy Outage Probability (SOP) to extract comprehensive insights into the RIS-assisted NOMA system’s behavior. Furthermore, we employ an algorithm based on the Golden Section to showcase the optimal SOP for a more in-depth analysis. Our findings highlight that the number of RIS metasurface components and the average signal-to-noise ratio at the access point are the primary factors driving improvements in system performance. Finally, we confirmed the correctness of our derived expressions by conducting a comparative analysis between Monte-Carlo simulations and analytical results.