Reconfigurable circuits alternatively acting as Random Number Generators (RNGs) or Analog to Digital Converters (ADCs) represent a promising approach to true random bit generation since they can provide high quality random values almost for free whenever a system already embeds an ADC. In their usage, one needs to consider that entering the RNG-mode requires some minor interruption of operation, since the internal chaos-based random source gets initialised at the last ADC input. Hence, the first generated values maintain some dependence on a potentially known value and a few dead beats are needed by the chaotic system to reach a regime where this correlation vanishes. This delay has so far been quantified only empirically. Here, a formal bound is provided, with relation to the required performance level and the system noise floor.
R. Rovatti, S. Callegari, G. Setti (2007). On the Convergence to Regime of ADC-based True Random Number Generators. SEVILLA : s.n.
On the Convergence to Regime of ADC-based True Random Number Generators
ROVATTI, RICCARDO;CALLEGARI, SERGIO;
2007
Abstract
Reconfigurable circuits alternatively acting as Random Number Generators (RNGs) or Analog to Digital Converters (ADCs) represent a promising approach to true random bit generation since they can provide high quality random values almost for free whenever a system already embeds an ADC. In their usage, one needs to consider that entering the RNG-mode requires some minor interruption of operation, since the internal chaos-based random source gets initialised at the last ADC input. Hence, the first generated values maintain some dependence on a potentially known value and a few dead beats are needed by the chaotic system to reach a regime where this correlation vanishes. This delay has so far been quantified only empirically. Here, a formal bound is provided, with relation to the required performance level and the system noise floor.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.