Partial Secrecy Analysis In Wireless Systems: Diversity-Enhanced Pls Over Generalized Fading Channels

Abstract

Growing need for secure wireless communication in networks like Internet of Things (IoT), 5G, and future 6G has raised concerns about efficient ways to ensure security. Cryptography techniques are considered to be efficient from the standpoint of providing security; however, they are also limited in computational complexity, energy consumption, and key management. In order to overcome the above-mentioned issue, it is possible to employ Physical Layer Security (PLS). Using unique characteristics of wireless communication channel, it is possible to enhance the confidentiality of the process. The current research paper analyzes the PLS approach for investigation of partial secrecy in case wireless channel operates under such fading distributions as Rayleigh, Rician, and Nakagami-m. The diversity-based approach for enhancing physical layer security is employed through use of such diversity types as Selection Combining (SC), Maximal Ratio Combining (MRC), and Cooperative Diversity. Analysis of performance of such a system is performed with the help of MATLAB simulations using the following parameters: Secrecy Capacity, Generalized Secrecy Outage Probability (GSOP), Average Information Leakage Rate (AILR), Average Fractional Equivocation (AFE), and Secrecy Throughput. The results of simulations demonstrate the advantage of diversity approach with respect to ensuring secure wireless communications at different SNR values. Among all kinds of diversity, MRC performs better than others due to its efficient signal combining capability.