Abstract
To counteract the dynamic deterioration of digitized chaotic systems, we propose a mathematical model for generating n-D non-degenerate hyperchaotic systems (NHS) with n positive Lyapunov exponents (LEs) and complex dynamic behaviors. In this brief, we analyze the internal relations among the coefficients, eigenvalues, and singular values of a circulant matrix. Based on singular value decomposition, the n-D NHS can be constructed by presetting a conjugate symmetric vector, with a theoretical proof provided. The LEs of the n-D NHS can be adjusted arbitrarily by changing a preconfigured eigenvalue vector. We demonstrate the feasibility and efficacy of the proposed scheme with two examples, a 4-D NHS and a 5-D NHS. Based on the 5-D NHS, we design a simple pseudorandom number generator (PRNG) with desirable statistical properties. The proposed NHS model has fewer control coefficients, making it suitable for applications in IoT security and lightweight chaotic cryptography. © 2023 IEEE.
Original language | English |
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Pages (from-to) | 460-464 |
Journal | IEEE Transactions on Circuits and Systems II: Express Briefs |
Volume | 71 |
Issue number | 1 |
Online published | 1 Aug 2023 |
DOIs | |
Publication status | Published - Jan 2024 |
Research Keywords
- Behavioral sciences
- Chaos
- circulant matrix
- Eigenvalues and eigenfunctions
- Jacobian matrices
- Lyapunov exponent
- Mathematical models
- Matrix decomposition
- Non-degenerate hyperchaotic system
- PRNG
- Symmetric matrices