RNGneProcessor , Random Number Generator from Natural Entropy

RNGneProcessor: True Randomness from Natural Entropy
Introduction: The True Randomness Approach
The RNGneProcessor class embodies the core concept that physical, chaotic phenomena are the ideal source for generating True Random Numbers (TRNGs). While algorithmic generators (PRNGs) are fast, they are mathematically predictable. True security, especially in cryptography, requires unpredictability drawn from the physical world.

The RNGne project implements a robust two-phase approach to leverage this natural chaos for secure applications:

Extraction Phase (TRNG): Uses an image of a…