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The Genetic Algorithm for RNG in the Crypto Module of Ubiquitous Computing Environment

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2 Author(s)
Jinkeun Hong ; Baekseok Univ., Cheonan ; Kihong Kim

Yet, it is quite difficult to create an unbiased and stable random bit stream, as required for statistical randomness, when using a random generator with only a hardware component and in especially it has occur the drift phenomena of input power. Therefore if the randomness of output bit stream is beyond limits range, it is applied the regulation of input power range to take the output bit stream, through the evaluation of randomness by constant period of output bit stream. Accordingly, this paper proposes a method for continuous stabilizing the input power of a random number generator using genetic algorithm mechanism in crypto module hardware. As such, the proposed scheme is designed to reduce the statistical property of a biased bit stream and optimize the input power using genetic algorithm to a random number generator engine in crypto module engine for ubiquitous computing.

Published in:

Future Generation Communication and Networking (FGCN 2007)  (Volume:1 )

Date of Conference:

6-8 Dec. 2007

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