A novel PRNG for fiber optic transmission

Sarra Senouci, Sid Ali Madoune, Mohammed Raouf Senouci, Abdelkader Senouci and Zhangchun Tang

Chaos, Solitons & Fractals, 2025, vol. 192, issue C

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.

Keywords: Chaotic PRNG; Cryptographically secure PRNG; Lorenz system; Fiber optic communication security; NIST SP800-22; NIST SP800-90B (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:192:y:2025:i:c:s0960077925000517

DOI: 10.1016/j.chaos.2025.116038

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