Survey On Using Audio Video for True Random Number Generation

Abstract

True random number generation is essential for modern and future security and cryptography. This paper surveys five existing methods of using audio and video to generate numbers, and compares their hardware, software, and randomness to find the best method for TRNG. The entropy of each method is compared, and the randomness of each method can be found. Each paper generates random numbers by utilizing the inherent noise created by transitioning analogue data to digital data, unlike other TRNG methods which use the conditions of internal hardware, erroneous data from wireless networks, or other non-noise-based methods.