This paper investigates the mathematical modeling of ergodic secrecy capacity (ESC) in securing wireless communication networks enhanced by reconfigurable intelligent surfaces (RIS). The focus is on scenarios involving an eavesdropper and a legitimate receiver operating over a Rician fading channel. Specifically, a RIS is strategically positioned between the source and the receiver to enhance the security of the communication link. Analytical expressions for the ESC are derived, offering key insights into the security characteristics of the system. A comparative evaluation system with best, with RIS, and without RIS deployment is included. Analytical results show that the RIS significantly enhances the ESC of the proposed model, supporting its practical value and opening pathways for further research and implementation in real-world wireless security applications.
This paper investigates the mathematical modeling of ergodic secrecy capacity (ESC) in securing wireless communication networks enhanced by reconfigurable intelligent surfaces (RIS). The focus is on scenarios involving an eavesdropper and a legitimate receiver operating over a Rician fading channel. Specifically, a RIS is strategically positioned between the source and the receiver to enhance the security of the communication link. Analytical expressions for the ESC are derived, offering key insights into the security characteristics of the system. A comparative evaluation system with best, with RIS, and without RIS deployment is included. Analytical results show that the RIS significantly enhances the ESC of the proposed model, supporting its practical value and opening pathways for further research and implementation in real-world wireless security applications.
This paper investigates the enhancement of security in Rayleigh fading channels using the best reconfigurable intelligent surface (RIS). The study focuses on a scenario involving a single legitimate receiver and a single eavesdropper, both operating over a Rayleigh fading channel. The impact of key parameters such as the eavesdroppers average signal-to-noise ratio (SNR), the number of reflecting elements of a RIS, and the number of RIS is thoroughly examined. Analytical expressions for the ergodic secrecy capacity (ESC) are derived to evaluate the systems secrecy performance. Furthermore, a comparative analysis is carried out between systems with and without RIS integration. The results confirm that deploying RIS significantly improves the ergodic secrecy capacity in wireless systems, thereby providing a foundation for further research and potential realworld implementations.
In this paper, we investigate the secrecy performance of a secure wireless communication system configured with reconfigurable intelligent surfaces (RIS). In particular, a legitimate source sends its private message to a legitimate destination with the aid of an RIS, while a passive eavesdropper intercepts this private information from both source and RIS. Considering this system setup, we first study the statistical analysis of the instantaneous signal-to-noise ratios (SNRs) at the destination and eavesdropper by exploiting the method of moments. Then, we deduce the closed-form expression of the ergodic secrecy capacity (ESC) over independent and identically distributed Rayleigh fading channels. Further, we provide the asymptotic ESC analysis in the high SNR regime to reveal some insightful information. Using the asymptotic ESC analysis, we also analytically present the impact of number of RIS elements on the ESC performance. Lastly, the analytical findings are corroborated via numerical and simulation studies, and show the impact of various involved parameters on the ESC performance.
This paper describes the enhancement of physicallayer security in Rayleigh fading channels through the deployment of the best reconfigurable intelligent surface (RIS). The system model under consideration includes one legitimate receiver and one eavesdropper, both operating over Rayleigh fading channels. The effect of key system parameters, such as the average signal-to-noise ratio (SNR) of the eavesdropper, the quality of the reflecting elements at the RIS, and the number of available RISs, is thoroughly examined. To evaluate the secrecy performance of the system, closed-form analytical results for the probability of non-zero secrecy capacity (PNSC) and the secure outage probability (SOP) are derived. The numerical results demonstrate that the deployment of RIS significantly improves both PNSC and SOP, thereby providing valuable insights for future research and potential real-world applications.
In this article, the physical layer security (PLS) is investigated for reconfigurable intelligent surface (RIS)-aided wireless communication systems, where one RIS is deployed to assist the communications between a pair of transmitter (Alice) and receiver (Bob), under a passive eavesdropper (Eve) attack. For the Eve, different from the bounded channel state information uncertainty model, the distribution of the Eve’s location is introduced into the wiretap link. In the proposed system, considering that the Eve can overhear signals transmitted from Alice or reflected by the RIS, two scenarios are studied for RIS-aided secure communication systems: one is that the Eve distributes close to Alice without the RIS orientation, and the other is that the Eve locates close to Bob and in the presence of the RIS. After investigating the probability distribution functions of the Eve’s location and the wiretap link, the novel cumulative density functions (CDFs) of the received signal-to-noise ratios (SNRs) at the Eves are, respectively, derived for the two considered scenarios, taking into account the effects of RIS reflection coefficients, pathloss, and Eve’s location distribution. The closed-form expressions for the probability of the nonzero secrecy capacity and the ergodic secrecy capacity are obtained, providing insights into the impact of the Eve’s location uncertainty and the RIS design on the secrecy performance. Moreover, based on the derived CDFs for received SNRs at Eves, the secrecy outage probabilities are, respectively, analyzed. Specifically, under the constraint of the secrecy outage probability, the closed forms of the minimum required SNRs at Bob and the number of RIS elements are also obtained. Simulation and analytical results corroborate the derived expressions and reveal the tradeoff between the system’s energy efficiency and the number of RIS elements.
RIS Enabled Secure Multicast Communication in Fisher-Snedecor F Fading Channels Attacked by Multiple Eavesdroppers
Reconfigurable Intelligent Surfaces (RIS) represent a transformative technology capable of intelligently reconfiguring wireless environments through controllable passive elements. This paper presents a comprehensive secrecy performance analysis of RIS-assisted multicast systems over Fisher-SnedecorFfading channels, which realistically capture both multipath fading and shadowing. Unlike prior studies focusing on unicast or simplified fading, a multicast scenario with multiple eavesdroppers is considered. Analytical expressions for the ergodic secrecy capacity (ESC), probability of non-zero secrecy capacity (PNSC), and secure outage probability (SOP) are derived by modeling the minimum signal-to-noise ratio (SNR) among legitimate users and the maximum SNR among eavesdroppers. Analytical results are verified via Monte-Carlo simulations, showing excellent agreement. Numerical findings reveal that increasing the number of RIS elements and improving main channel conditions significantly boost secrecy performance, while larger multicast groups, stronger eavesdropper channels, and harsher fading degrade it. The proposed framework provides practical design aspects for secure RIS-assisted multicast systems in next-generation IoT and 6G networks.
In this letter, we analyze the secrecy performance of a reconfigurable intelligent surface (RIS)-aided communication system with spatially random unmanned aerial vehicles (UAVs) acting as eavesdroppers. We consider the scenarios where the base station (BS) is equipped with single and multiple antennas. The signal-to-noise ratios (SNRs) of the legitimate user and the eavesdroppers are derived analytically and approximated through a computationally effective method. The ergodic secrecy capacity is approximated and derived in closed-form expressions. Simulation results validate the accuracy of the analytical and approximate expressions and show the security-enhanced effect of the deployment of the RIS.