Parameter Dependencies and Optimization of True Random Number Generator (TRNG) using Genetic Algorithm (GA)

Abstract

In the hostile environment, use of pseudo-random numbers in encryption algorithm has become difficult due to increased computing power of attackers. To overcome from the hackers true random number generator solving by giving unique random sequence. Authors recommend based on experiment to add parameters dependencies of analog Phase-Locked Loop (PLL) based on TRNG, and it also tries to optimize few parameters using Genetic Algorithm (GA). The proposed approach selects optimum values for different parameters and increases flexibility, resource utilization, throughput. Digital architecture for optimized TRNG is obtained using Altera platform. Implementation the optimized TRNG on ALTERA QUARTUS-II DE0 board gives enhancement R and S parameters by 42.18% and 38.67% respectively.