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Shukur Hyperchaotic Map

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The Shukur Hyperchaotic Map is a three-dimensional discrete-time mathematical map that exhibits hyperchaos, meaning it has more than one positive Lyapunov exponent. The map was introduced by Ali A. Shukur in a 2025 study for use in secure color image encryption schemes due to its high sensitivity to initial conditions and complex dynamic behavior.

Mathematical Definition

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The map is defined as follows:

where , , are real-valued parameters.

Dynamic Properties

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The map exhibits:

  • Hyperchaotic behavior for a wide range of parameters.
  • Multiple positive Lyapunov exponents.
  • High sensitivity to initial conditions.
  • Dense and unpredictable phase space trajectories.

Stability Analysis

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The system has four fixed points:

At these points, the Jacobian matrix has all eigenvalues equal to 1, indicating marginal stability. This means the system neither converges nor diverges under small perturbations, but remains on a bounded trajectory due to the modulo operation.

Applications

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The function was originally developed for image encryption. Its complex dynamics and extreme sensitivity make it suitable for generating encryption keys and scrambling pixel data in color images. It has been demonstrated to resist common cryptanalytic attacks.

Publication

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  • Obaid, Mohammed Jabbar; Neamah, Ammar Ali; Shukur, Ali A.; Pham, Viet-Thanh; Grassi, Giuseppe (May 2025). "A Reliable Color Image Encryption Scheme Based on a Novel Dual-Wing Hyperchaotic Map". Expert Systems with Applications. 289: 128237. doi:10.1016/j.eswa.2025.128237.

See Also

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Category:Chaotic maps Category:Dynamical systems Category:Cryptographic algorithms Category:Mathematical modeling Category:2025 introductions