EN
Design and Analysis of a Quadratic Lorenz-like Attractor for Pseudo-Random Number Generation
Abstract
This study introduces and analyzes a novel quadratic Lorenz-like attractor and demonstrates its application as a pseudo-random number generator (PRNG). A theoretical and numerical investigation of the system dynamics is conducted, including equilibrium point analysis, Jacobian eigenvalues, dissipativity, and Lyapunov exponents. The results indicate that the quadratic modification alters the system dynamics, producing stronger chaotic intensity than the classical Lorenz system. This is supported by larger positive Lyapunov exponents and a non-integer Lyapunov dimension (≈2.40), which reflects a more complex attractor geometry. Numerical simulations, time series, phase projections, and bifurcation analysis further illustrate the rich nonlinear dynamics of the system. To validate its applicability, the chaotic sequences generated by the attractor were subjected to standard statistical evaluations, including the NIST SP800-22, Diehard, and ENT test suites. A dataset of 18 million samples was employed, significantly exceeding the minimum requirement for meaningful validation, and the results confirm that the proposed generator produces high-quality randomness. The importance of this work lies in demonstrating that the quadratic Lorenz-like attractor offers both strong chaotic intensity and relatively simple structure, making it a promising candidate for cryptographic applications, secure communications, and other domains requiring reliable pseudo-random number generation.
Keywords
Ethical Statement
no ethıcal
References
- [1] Diffie W., Hellman M., New directions in cryptography, IEEE Trans. Inf. Theory, 22 (6) (1976) 644-654.
- [2] Rivest R.L., Shamir A., Adleman L., A method for obtaining digital signatures and public-key cryptosystems, Commun. ACM, 21 (2) (1978) 120-126.
- [3] Rivest R.L., Shamir A., Adleman L., A method for obtaining digital signatures and public-key cryptosystems, Commun. ACM, 26 (1) (1983) 96-99.
- [4] Lin T., Chua L., A new class of pseudo-random number generator based on chaos in digital filters, Int. J. Circuit Theory Appl., 21 (5) (1993) 473-480.
- [5] Lücher M., A portable high-quality random number generator for lattice field theory simulations, Comput. Phys. Commun., 79 (1) (1994) 100-110.
- [6] Zhang S.C., Zhou S.M., A pseudo-random number generator, Math. Practice Theory, 1 (1992) 33-34.
- [7] Bonilla L.L., Alvaro M., Carretero M., Chaos-based true random number generators, J. Math. Ind., 7 (2017) 1-17.
- [8] Teh J.S., Samsudin A., Al-Mazrooie M., Akhavan A., GPUs and chaos: a new true random number generator, Nonlinear Dyn., 82 (4) (2015) 1913-1922.
Details
Primary Language
English
Subjects
Dynamical Systems in Applications , Applied Mathematics (Other)
Journal Section
Research Article
Authors
Hatice Aktöre
0000-0003-2455-3681
Cyprus
Publication Date
December 30, 2025
Submission Date
September 27, 2024
Acceptance Date
November 27, 2025
Published in Issue
Year 1970 Volume: 46 Number: 4