On the Robustness to Noise and Interference of ADC-Derived, Chaos-Based True Random Number Generators

Recent results in the design of true-Random Number Generators (RNGs) include a technique for building true-RNGs out of Analog to Digital Converter (ADC) parts, where chaotic dynamics is exploited to guarantee appropriate statistical features and unpredictability. A major advantage of this approach consists in the possibility to formally prove the ability of the system to generate true-random bits in ideal conditions (building blocks without deviations from nominal behavior and noise/interference-free environment). Here, the original theoretical framework is extended to take into account noise and interference, proving that a system made of ideal building blocks is insensitive to them.