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Cryptographic pseudo-random sequence from the spatial chaotic map

Author

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  • Sun, Fuyan
  • Liu, Shutang

Abstract

A scheme for pseudo-random binary sequence generation based on the spatial chaotic map is proposed. In order to face the challenge of using the proposed PRBS in cryptography, the proposed PRBS is subjected to statistical tests which are the well-known FIPS-140-1 in the area of cryptography, and correlation properties of the proposed sequences are investigated. The proposed PRBS successfully passes all these tests. Results of statistical testing of the sequences are found encouraging. The results of statistical tests suggest strong candidature for cryptographic applications.

Suggested Citation

  • Sun, Fuyan & Liu, Shutang, 2009. "Cryptographic pseudo-random sequence from the spatial chaotic map," Chaos, Solitons & Fractals, Elsevier, vol. 41(5), pages 2216-2219.
    • Handle: RePEc:eee:chsofr:v:41:y:2009:i:5:p:2216-2219
    DOI: 10.1016/j.chaos.2008.08.032
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    Cited by:

    1. Tutueva, Aleksandra V. & Nepomuceno, Erivelton G. & Karimov, Artur I. & Andreev, Valery S. & Butusov, Denis N., 2020. "Adaptive chaotic maps and their application to pseudo-random numbers generation," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    2. Saha, Rahul & G, Geetha, 2017. "Symmetric random function generator (SRFG): A novel cryptographic primitive for designing fast and robust algorithms," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 371-377.
    3. Everett, Samuel, 2024. "On the use of dynamical systems in cryptography," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).
    4. Dmitriy Kvitko & Vyacheslav Rybin & Oleg Bayazitov & Artur Karimov & Timur Karimov & Denis Butusov, 2024. "Chaotic Path-Planning Algorithm Based on Courbage–Nekorkin Artificial Neuron Model," Mathematics, MDPI, vol. 12(6), pages 1-20, March.

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