Pseudorandom number generator - The Self Programmable Cellular Automata

Sheng Uei Guan*, Syn Kiat Tan

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

This paper deals with the problem of generating high quality random number sequences for cryptography. A new class of CA, the Self Programmable Cellular Automata (SPCA) is proposed. Experimental results showed the sequences generated performed well in the ENT and DIEHARD test suites; comparable to the results obtained by other researchers. Furthermore, the SPCA has implementation space savings over other similar variants of CA. The SPCA uses only Boolean operations hence it is ideally suitable for VLSI hardware implementation.

Original languageEnglish
Pages (from-to)1230-1235
Number of pages6
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2773 PART 1
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event7th International Conference, KES 2003 - Oxford, United Kingdom
Duration: 3 Sept 20035 Sept 2003

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