Understanding Generated RTN as an Entropy Source for True Random Number Generators

Abstract

Future secure communication relies on the true Random number Generator (TRNG), of which the random source is of most importance for offering high entropy. The random telegraph noise (RTN) in nano-scaled devices show excellent randomness, however, RTN-based TRNG suffer from relatively large area and low speed. Here we introduce our recently-proposed solutions to tackle these two issues. Then we performed systematic analysis based on Monte Carlo simulation to understand the impact of design parameters on its practical performance, shedding light on the practical circuit design.