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An Adaptive Filter Mechanism of Random Number Generator in a Crypto Module

  • Jin Keun Hong
  • Ki Hong Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3911)

Abstract

Yet, when using a real random number generator (RNG) with only a hardware component, as required for statistical randomness, it is quite difficult to create an unbiased and stable random bit stream. Although the hardware generating processor generates an output bit stream quickly, if the software filter algorithm is not efficient, the RNG consumed a relatively large amount of time. This factor becomes the limiting condition when the RNG is applied. Accordingly, this paper proposes an adaptive filter approach to ensure the model of software filtering in the RNG processor of a crypto module. Therefore, an adaptive model is proposed that applies a filter algorithm, thereby consuming less time than the conventional filter algorithm scheme.

Keywords

Noise Source Random Number Generator Conventional Model Hardware Component Filter Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jin Keun Hong
    • 1
  • Ki Hong Kim
    • 2
  1. 1.Division of Information and CommunicationCheonan UniversityChungnamSouth Korea
  2. 2.Graduate School of Information SecurityKorea UniversitySeoulSouth Korea

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