Analyzing Physical-Layer Security of PLC Systems Using DCSK: A Copula-Based Approach

This study analyzes the physical layer security (PLS) performance of a differential chaos shift keying (DCSK) modulation-based Power Line Communication (PLC) system by exploiting novel Farlie-Gumbel-Morgenstern (FGM) Copula approach. A power line Wyner’s wiretap channel model is investigated, where main and are assumed to be correlated Log-normally distributed. The Gamma approximation Log-normal distribution employed simplify computation. Concurrently, PLC noise modeled as Bernoulli-Gaussian random process. Utilizing based approach dependence among channels, PLS evaluated in terms secure outage probability (SOP) strictly positive secrecy capacity (SPSC). It revealed through asymptotic SOP analysis that diversity order depends on shaping parameter $(m_{\gamma _{M}})$ channel. We also propose an algorithm maximize throughput under constraints. Based insights from this analysis, it has been seen degrades when value notation="LaTeX">$(\theta)$ increases. Also, improves with lower optimal threshold signal-to-noise ratio (SNR), notation="LaTeX">$\gamma _{\textrm {th}}$ . Furthermore, some other insightful observations presented studying impact different parameters such spreading factor notation="LaTeX">$(\beta)$ , impulsive occurrence notation="LaTeX">$(p)$ transmitted notation="LaTeX">$(P_{T})$ index notation="LaTeX">$(K)$