A 3D Memristive Hyperchaotic Map with Bounce-Escape Zigzag Scrambling for Color Image Encryption

As the need for secure image encryption grows, chaotic cryptography using hyperchaotic systems has attracted significant attention. This article proposes a novel three-dimensional (3D) memristive hyperchaotic map. We analyze the map using phase portraits, Lyapunov exponents, sensitivity analysis, the 0-1 test, Lyapunov dimension, bifurcation diagrams, and Kolmogorov–Sinai entropy. The map has two positive Lyapunov exponents, and the Kaplan–Yorke dimension equals three, confirming strong hyperchaotic dynamics across a wide parameter range. Based on this map, we introduce a new color image encryption scheme. It incorporates a key derived from both an external 256-bit secret key and the SHA-256 hash of the plaintext; a novel Bounce-Escape Zigzag (BEZ) scrambling algorithm with boundary-bouncing diagonal trajectories, variable-length diagonal traversals, and adaptive collision escape; dynamic DNA encoding; and chaotic XOR diffusion. Comprehensive security analysis on standard test images demonstrates near-ideal entropy values, NPCR and UACI close to the theoretical ideals, and correlation coefficients close to zero. The proposed scheme also shows strong robustness against differential, known-plaintext, and chosen-plaintext attacks, as well as cropping and noise corruption, with an effective key space of 2256. By integrating hyperchaotic dynamics, BEZ scrambling, and multi-layer DNA-XOR diffusion, the proposed method achieves superior performance. It is well-suited for secure image communication and storage applications.

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Publication Details

Journal
Mathematical and Computational Applications
Published
2026-10-09
DOI
https://doi.org/10.3390/mca31050218
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
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article

A 3D Memristive Hyperchaotic Map with Bounce-Escape Zigzag Scrambling for Color Image Encryption

M. G. Abbas Malik, Zia Bashir, Muhammad Hayat
Mathematical and Computational Applications
Chaos-based Image/Signal Encryption
article

A 3D Memristive Hyperchaotic Map with Bounce-Escape Zigzag Scrambling for Color Image Encryption

M. G. Abbas Malik, Zia Bashir, Muhammad Hayat
article en

Abstract

As the need for secure image encryption grows, chaotic cryptography using hyperchaotic systems has attracted significant attention. This article proposes a novel three-dimensional (3D) memristive hyperchaotic map. We analyze the map using phase portraits, Lyapunov exponents, sensitivity analysis, the 0-1 test, Lyapunov dimension, bifurcation diagrams, and Kolmogorov–Sinai entropy. The map has two positive Lyapunov exponents, and the Kaplan–Yorke dimension equals three, confirming strong hyperchaotic dynamics across a wide parameter range. Based on this map, we introduce a new color image encryption scheme. It incorporates a key derived from both an external 256-bit secret key and the SHA-256 hash of the plaintext; a novel Bounce-Escape Zigzag (BEZ) scrambling algorithm with boundary-bouncing diagonal trajectories, variable-length diagonal traversals, and adaptive collision escape; dynamic DNA encoding; and chaotic XOR diffusion. Comprehensive security analysis on standard test images demonstrates near-ideal entropy values, NPCR and UACI close to the theoretical ideals, and correlation coefficients close to zero. The proposed scheme also shows strong robustness against differential, known-plaintext, and chosen-plaintext attacks, as well as cropping and noise corruption, with an effective key space of 2256. By integrating hyperchaotic dynamics, BEZ scrambling, and multi-layer DNA-XOR diffusion, the proposed method achieves superior performance. It is well-suited for secure image communication and storage applications.

Mathematical and Computational ApplicationsVol. 31(5)
Quaid-i-Azam University (PK), Prince Sultan University (SA)
Openalex Percentile: Top 15%
Chaos-based Image/Signal Encryption
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A 3D Memristive Hyperchaotic Map with Bounce-Escape Zigzag Scrambling for Color Image Encryption — M. G. Abbas Malik, Zia Bashir, et al. · Mathematical and Computational Applications (2026) | TGRS Research Map | TGRS