A transformation sequencing approach to pseudorandom number generation

Syn Kiat Tan*, Sheng Uei Guan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a new approach to designing pseudorandom number generators based on cellular automata. Current cellular automata designs either focus on (i) ensuring desirable sequence properties such as maximum length period, balanced distribution of bits and uniform distribution of n-bit tuples, etc. or (ii) ensuring the generated sequences pass stringent randomness tests. In this work, important design patterns are first identified from the latter approach and then incorporated into cellular automata such that the desirable sequence properties are preserved like in the former approach. Preliminary experiment results show that the new cellular automata designed have potential in passing all DIEHARD tests.

Original languageEnglish
Pages (from-to)1293-1302
Number of pages10
JournalInternational Journal of Modern Physics C
Volume18
Issue number8
DOIs
Publication statusPublished - Aug 2007
Externally publishedYes

Keywords

  • Cellular automata
  • Maximum length period
  • Pseudorandom number generation
  • Randomness tests

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