In this paper, we propose a high-performance pseudo-random
number generator (PRNG) based on the Chua chaotic system, specifically
optimised for FPGA deployment. The inherent nonlinear dynamics and extreme
sensitivity to initial conditions exhibited by the Chua system substantially
improve the statistical quality of the generated sequences, yielding high
entropy and strong resistance to cryptanalytic attacks. A hardware-oriented
architecture is carefully designed to minimise arithmetic complexity, enhance parallelism,
and ensure efficient utilisation of FPGA resources. The proposed implementation
achieves a maximum operating frequency of 104.613 MHz and an ultra-high
throughput of 3,347.616 Mb/s, making it well-suited for real-time and
lightweight security applications. Experimental results confirm that the
proposed Chua-based PRNG delivers excellent performance in terms of
unpredictability, statistical robustness, and hardware efficiency.
Author(s) Details
Rim Amdouni
Research Laboratory in Algebra Numbers Theory and Intelligent Systems
(RLANTIS), University of Monastir, Tunisia and University of Monastir, Faculty
of Sciences of Monastir, Monastir, Tunisia.
Mohamed Ali Hajjaji
Research Laboratory in Algebra Numbers Theory and Intelligent Systems
(RLANTIS), University of Monastir, Tunisia and University of Sousse, Higher
Institute of Applied Sciences and Technology, Sousse, Tunisia.
Please see the book here :- https://doi.org/10.9734/bpi/mcsru/v8/6833
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