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A Transformation Sequencing Approach To Pseudorandom Number Generation

Author

Listed:
  • SYN KIAT TAN

    (Department of Electrical and Computer Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore)

  • SHENG-UEI GUAN

    (School of Engineering and Design, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK)

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 ofn-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.

Suggested Citation

  • Syn Kiat Tan & Sheng-Uei Guan, 2007. "A Transformation Sequencing Approach To Pseudorandom Number Generation," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 18(08), pages 1293-1302.
    • Handle: RePEc:wsi:ijmpcx:v:18:y:2007:i:08:n:s0129183107011327
    DOI: 10.1142/S0129183107011327
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