A feasibility study of a 1D chaotic map for True Random Number Generation

True Random Number Generators, vital and indispensable primitives of cryptography, are systems that generate identically distributed, independent, and unpredictable numbers. In this work, we study and evaluate the true random number generation potential and feasibility of a one dimensional chaotic function over a customly developed mathematical model of logistic map in MATLAB as an alternative example to existing topologically complex, hard to analyze and design continuous time chaos based true random number generators.We have generated random numbers using the model and applied NIST 800.22 statistical tests. Results reveal the true random number generation potential of one dimensional chaotic function when certain conditions are met.