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.
On the Robustness to Noise and Interference of ADC-Derived, Chaos-Based True Random Number Generators / S. Callegari. - STAMPA. - 1:(2006), pp. 387-390. (Intervento presentato al convegno 2006 International Symposium on Nonlinear Theory and its Applications (NOLTA 2006) tenutosi a Bologna nel 11-14 Settembre 2006).
On the Robustness to Noise and Interference of ADC-Derived, Chaos-Based True Random Number Generators
CALLEGARI, SERGIO
2006
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.