Random number generator simulation and digital ic design from inverse congruential algorithm

Access is limited to UniMAP community.

Saved in:

Bibliographic Details
Main Author:	Ahmad Firdaus, Mohamad Razy
Format:	Learning Object
Language:	English
Published:	Universiti Malaysia Perlis (UniMAP) 2014
Subjects:	Algorithm Inverse Congruential Digital IC Random number generator Number generator
Online Access:	http://dspace.unimap.edu.my:80/dspace/handle/123456789/34176
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-34176
record_format	dspace
spelling	my.unimap-341762014-04-29T07:53:56Z Random number generator simulation and digital ic design from inverse congruential algorithm Ahmad Firdaus, Mohamad Razy Algorithm Inverse Congruential Digital IC Random number generator Number generator Access is limited to UniMAP community. Random number generator is a generation of random number sequence based on random number algorithm, which will produce an unpredictable number of a sequence. This study describes the random number generator simulation for several random number algorithms and designing digital IC random number from Inverse Congruential algorithm for cryptography purpose. In this investigation, the several random number algorithms are selected based on pseudorandom number algorithm and are simulated by theoretical simulator analysis. The theoretical simulation analysis will show result of random number distribution data and random number pattern data. The results indicate of deterministic of sequences and pattern of generating random number. NIST tester is included in this project to evaluate the randomness of a sequence. The algorithm that was selected is Inverse Congruential algorithm based on the performance in theoretical simulation analysis. The test showed that the random number sequences for this algorithm achieved 13.75% of randomness. Meanwhile, result from NIST tester showed that, this algorithm has appeared high in linear complexity. The design of digital IC random number generator was purposely to reducing size of random number generator hardware, and at same time consumes low power and also cheaper in production cost compared to current random number generator hardware that need high cost for cryptographic development. 2014-04-29T07:53:56Z 2014-04-29T07:53:56Z 2011-05 Learning Object http://dspace.unimap.edu.my:80/dspace/handle/123456789/34176 en Universiti Malaysia Perlis (UniMAP) School of Microelectronic Engineering
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Algorithm Inverse Congruential Digital IC Random number generator Number generator
spellingShingle	Algorithm Inverse Congruential Digital IC Random number generator Number generator Ahmad Firdaus, Mohamad Razy Random number generator simulation and digital ic design from inverse congruential algorithm
description	Access is limited to UniMAP community.
format	Learning Object
author	Ahmad Firdaus, Mohamad Razy
author_facet	Ahmad Firdaus, Mohamad Razy
author_sort	Ahmad Firdaus, Mohamad Razy
title	Random number generator simulation and digital ic design from inverse congruential algorithm
title_short	Random number generator simulation and digital ic design from inverse congruential algorithm
title_full	Random number generator simulation and digital ic design from inverse congruential algorithm
title_fullStr	Random number generator simulation and digital ic design from inverse congruential algorithm
title_full_unstemmed	Random number generator simulation and digital ic design from inverse congruential algorithm
title_sort	random number generator simulation and digital ic design from inverse congruential algorithm
publisher	Universiti Malaysia Perlis (UniMAP)
publishDate	2014
url	http://dspace.unimap.edu.my:80/dspace/handle/123456789/34176
_version_	1643797279473139712

Random number generator simulation and digital ic design from inverse congruential algorithm

Similar Items