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Pseudo Random Number Generator Based On Synchronized Chaotic Maps

Author

Listed:
  • AFSHIN AKHSHANI

    (School of Physics, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia;
    Department of Physics, IAU, Orumieh, Iran)

  • SOHRAB BEHNIA

    (Department of Physics, IAU, Orumieh, Iran)

  • AMIR AKHAVAN

    (School of Computer Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia)

  • SIEW-CHOO LIM

    (School of Physics, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia)

  • ZAINURIAH HASSAN

    (School of Physics, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia)

Abstract

In this paper, a hierarchy of coupled maps in synchronized state is introduced. Then some discussions about the individual properties of these chaotic maps are presented, from a dynamical systems viewpoint. Also, one of these chaotic map is used as a Nonlinear Pseudo Random Generator (NPRNG). This paper addresses the chaotic features of this map which are useful for generating nonlinear pseudo random numbers. Results of the analysis and extensive tests such as the NIST, DIEHARD and ENT test suites indicate that the NPRNG exhibits good statistical randomness properties.

Suggested Citation

  • Afshin Akhshani & Sohrab Behnia & Amir Akhavan & Siew-Choo Lim & Zainuriah Hassan, 2010. "Pseudo Random Number Generator Based On Synchronized Chaotic Maps," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 275-290.
  • Handle: RePEc:wsi:ijmpcx:v:21:y:2010:i:02:n:s0129183110015117
    DOI: 10.1142/S0129183110015117
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    Cited by:

    1. Yan, Yanjun & Chen, Kai & Zhao, Yijiu & Wang, Houjun & Xu, Bo & Wang, Yifan, 2024. "An innovative orthogonal matrix based on nonlinear chaotic system for compressive sensing," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).

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