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A novel PRNG for fiber optic transmission

Author

Listed:
  • Senouci, Sarra
  • Madoune, Sid Ali
  • Senouci, Mohammed Raouf
  • Senouci, Abdelkader
  • Tang, Zhangchun

Abstract

This paper presents a novel chaotic-based pseudo-random number generator (PRNG) architecture, leveraging the Lorenz system, for secure fiber optic communication. We analyze a base model and an enhanced model, incorporating techniques like Euler integration, XOR operations, bifurcation analysis, and autocorrelation functions. The enhanced model, incorporating a feedback mechanism, exhibits superior performance in terms of output distribution, complexity, and randomness properties, as validated by NIST SP800-22 and NIST SP800-90B testings. Having passed all tests satisfactorily, we consider this improved model to be a cryptographically secure pseudo-random number generator (CSPRNG). This CSPRNG is adapted for fiber optic transmission, combining chaotic dynamics and fiber-optic technology for enhanced data security and reliability.

Suggested Citation

  • Senouci, Sarra & Madoune, Sid Ali & Senouci, Mohammed Raouf & Senouci, Abdelkader & Tang, Zhangchun, 2025. "A novel PRNG for fiber optic transmission," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:chsofr:v:192:y:2025:i:c:s0960077925000517
    DOI: 10.1016/j.chaos.2025.116038
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    References listed on IDEAS

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    1. Luo, Yuyao & Fan, Chunlei & Xu, Chengbin & Li, Xinyu, 2024. "Design and FPGA implementation of a high-speed PRNG based on an n-D non-degenerate chaotic system," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).
    2. Balootaki, Mohammad Ahmadi & Rahmani, Hossein & Moeinkhah, Hossein & Mohammadzadeh, Ardashir, 2020. "On the Synchronization and Stabilization of fractional-order chaotic systems: Recent advances and future perspectives," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
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