A Lightweight M_TRNG Design based on MUX Cell Entropy using Multiphase Sampling

Abstract

True Random Number Generator (TRNG) is built on hardware-based non-deterministic noise for generating keys, initialization vectors, and random numbers in a variety of applications requiring cryptographic protection. In this paper, through the research of frequency jitter mechanism, a true random number generator based on multi-phase sampling of MUX unit is proposed. The scheme is based on the “soft macro” design of the MUX unit, which replaces the traditional look-up table entropy scheme. It completes high-precision jitter sampling on the basis of ensuring the fairness of the TRNG entropy source, and can be well transplanted to a series of FPGAs. The proposed TRNG is verified on three FPGAs of Xilinx Virtex-6, Artix-7 and Virtex-7. The experimental results show that the generated random sequences are of good quality, passing the NIST SP800-22 tests with higher p-value and passing NIST SP 800-90B tests with higher minimum entropy, while achieving 100Mbps throughput. It is worth mentioning that the resource overhead consumed by the proposed TRNG is small and single, only consuming 4 MUX units, 4 DFFs and one LUT unit, which has a good application prospect.