A high throughput pseudo-random number generator driven by four-dimensional discrete hyper-chaotic system

Pseudo-random number generators (PRNGs) are the cornerstone of various fields including computer science, cryptography, and scientific simulation. To generate high-quality and unpredictable pseudo-random sequences, many works draw attention to the use of chaos theory and dynamical systems. However, most of them focus on continuous or low-dimensional chaotic systems with strong temporal correlations or insufficient nonlinear dynamics. Thus, in this study, a new PRNG based on a four-dimensional discrete system is proposed to solve the aforementioned flaws. The PRNG has been implemented on Xilinx Artix-7 xc7a100tfgg484-2, which can generate pseudo-random sequences at a high speed of 12811.53 Mb/s without additional post-processing. All these sequences have successfully passed the NIST SP800.22 standard test. Both throughput and randomness quality of the proposed PRNG outperform the state-of-the-art. The key innovation of the proposed pseudo-random number generator(PRNG) is using a four-dimensional discrete hyper-chaotic system to generate high-quality and unpredictable pseudo-random sequences at a speed of 12811.53 Mb/s without post-processing. The proposed PRNG passed the NIST SP800-22 test, demonstrating its high randomness quality.image