Randomness enhancement for a digitalized modified-logistic map based pseudo random number generator

Shih Liang Chen*, Ting Ting Hwang, Wen-Wei Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A nonlinear, Digitalized Modified-Logistic Map based Pseudo Random Number Generator (DMLM-PRNG) is proposed for randomness enhancement. We use parameter selection to reduce computation cost and output sequence scrambling to improve the quality or randomness. Statistical test results show that DMLM-PRNG passes all cases in SP800-22, and most of cases in Crush, one of the test suite of TesuU01. When compared to previous chaotic map based PRNGs, in terms of randomness quality, our system is as good as Addabbo's [1] combined system and better than Li's [2] system. Moreover, our system shows better scalability than Addabbo's system.

Original languageEnglish
Title of host publicationProceedings of 2010 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2010
Pages164-167
Number of pages4
DOIs
StatePublished - 8 Nov 2010
Event2010 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2010 - Hsin Chu, Taiwan
Duration: 26 Apr 201029 Apr 2010

Publication series

NameProceedings of 2010 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2010

Conference

Conference2010 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2010
CountryTaiwan
CityHsin Chu
Period26/04/1029/04/10

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