Cart (Loading....) | Create Account
Close category search window
 

Pseudo-random sequence generation using the CNN universal machine with applications to cryptography

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
$31 $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

3 Author(s)
Crounse, K.R. ; Electron. Res. Lab., California Univ., Berkeley, CA, USA ; Tao Yang ; Chua, L.O.

A good source of reproducible random-looking data is important in many applications ranging from simulation of physical systems, communications, and cryptography. It is demonstrated that the cellular neural network (CNN) universal machine (or the discrete-time CNN) is capable of producing a two-dimensional pseudo-random bit stream at high speeds by means of cellular automata (CA). First, the random properties of some irreversible two-dimensional CA rules, selected by applying mean-field theory, are analyzed by a battery of statistical tests. Second, a special class of reversible CA are considered for random number generation and are shown to have some of the desirable properties of physics-like models. Finally, as an example application for random number generation on the CNNUM, some cryptographic schemes are proposed

Published in:

Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on

Date of Conference:

24-26 Jun 1996

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.