Designing n-D Non-Degenerate Hyperchaotic Systems via a Simple Circulant Matrix

Chunlei Fan, Qun Ding*, Chi K. Tse

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

9 Citations (Scopus)

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 languageEnglish
Pages (from-to)460-464
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume71
Issue number1
Online published1 Aug 2023
DOIs
Publication statusPublished - 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

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