To mitigate primary user emulation attack trajectory using cognitive single carrier frequency division multiple access approaches: Towards next generation green IoT

The growing cognizance of spectrum scarcity has become a more significant concern in wireless radio communications. Due to the exponential growth data transmission intelligent sensor networks, energy detection promising solution for resolving shortages. Primary user emulation attack (PUEA) been identified as vector cognitive (CR) domain's physical layer. In comparison, CR is method increase efficiency by allowing unlicensed secondary users (SUs) access licensed frequency bands without interfering with approved primary (PUs). study's findings are methodology preventing PUEA using authentication tags, which unique sequences. This research blends SC-FDMA protect networks from attacks, Latin square (LS) matrix tag generation system proposed mitigate effect. technology meant provide effective and protection against malicious users. secured environment, LS technique utilized track estimate PU. For example, BER both techniques virtually identical between 0 4 dB, while performance suggested improves increasing signal-to-noise ratio (SNR). As result, less susceptible PUEA. To diminish influence an efficient enlightening approach making future Green Cognitive Radio Wireless structure proposed. simulation results also demonstrate resilience sensing energy-efficient knowledge at varying degrees reduce adverse effects environmental technologies.