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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Journal / PublicationIEEE Transactions on Circuits and Systems II: Express Briefs
Publication statusOnline published - 1 Aug 2023

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.

Research Area(s)

  • Behavioral sciences, Chaos, circulant matrix, Eigenvalues and eigenfunctions, Jacobian matrices, Lyapunov exponent, Mathematical models, Matrix decomposition, Non-degenerate hyperchaotic system, PRNG, Symmetric matrices