Robust security model utilizing 4D hyper-digital chaotic sequence for joint-polar coding and SCMA scheme-based IoT applications

Abstract

The rapid growth of Internet of Things (IoT) devices, driven by the emergence of 5G technology, necessitates faster and more secure connections for real-time data transfer. To address this, a combined approach called JPC-SCMA, which involves integrating Polar Code (PC) with sparse code multiple access (SCMA), is proposed to ensure efficient and reliable communication while minimizing errors. PC enhance hardware efficiency and throughput in 5G networks, serving as effective channel coding. SCMA enables users to decode shared resource communications, but this method introduces security concerns, especially for untrusted users. This study introduces a novel security technique for JPC-SCMA in IoT systems. It employs lightweight cipher-based security methods and a 4D-hyperdigital chaotic key generator to create necessary key sets. Simulation results confirm the effectiveness of the proposed secure system, achieving zero Bit Error Rate (BER) at SNR=9 with a small SNR penalty (1.5 dB at 10-4 BER) compared to the less secure system. The security model generates a robust key space (~10220 bits), thwarting exhaustive attacks. Model efficiency is validated through metrics such as Entropy, Similarity, correlation, Number of Pixel Changes Rate, and stands for Unified Average Change Intensity, especially when transmitting multiple digital images.