By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

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