5G RF Spectrum-based Cryptographic Pseudo Random Number Generation for IoT Security

This thesis presents a novel approach for generating truly random num- bers in 5G wireless communication systems using the radio frequency (RF) spectrum. The proposed method leverages variations in the RF spectrum to create entropy, which is then used to generate truly random numbers. This approach is based on channel state information (CSI) measured at the receiver in 5G systems and utilize the variability of the CSI to extract entropy for random number generation. The proposed method has several advantages over traditional random number generators, including the use of a natural source of entropy in 5G wireless communication systems, min- imal hardware and computational resource requirements, and a high level of security due to the use of physical characteristics of the wireless chan- nel that are difficult for attackers to predict or manipulate. Simulation re- sults demonstrate that the proposed method generates high-entropy random numbers, passes statistical randomness tests, and outperforms traditional random number generators regarding energy consumption and computa- tional complexity. This approach has the potential to improve the security of cryptographic protocols in 5G networks