A new image encryption method based on memristive hyperchaos

This paper reports an effective image encryption method based on a novel two-dimensional memristive-coupled hyperchaotic Sine map. The performance analysis shows that the proposed map is easier to form hyperchaotic phenomenon in multiple parameter regions than some existing chaotic maps, and is suitable for image encryption. The new image encryption algorithm contains permutation and diffusion processes. The permutation process can make the pixel arrangement of the digital image disorderly, and the diffusion process can propagate small changes from the original image to the entire cipher-image with the help of a new bit-based double-loop-shift exclusive-OR (XOR) mechanism. The encryption and decryption effects are numerically investigated, and the security of the proposed algorithm is fully evaluated. Performance evaluations demonstrate that the proposed algorithm has well key sensitivity and robustness, and it has several advantages in terms of information entropy, correlation coefficient and the ability of defending differential attack, compared with the related algorithms.

Automated summary

This paper presents a new image encryption method based on a novel two-dimensional memristive-coupled hyperchaotic Sine map. The proposed map shows a higher propensity for hyperchaotic behavior in multiple parameter ranges, making it suitable for image encryption. The algorithm involves permutation and diffusion processes, which disorder the pixel arrangement and propagate changes across the entire cipher-image using a new bit-based double-loop-shift exclusive-OR (XOR) mechanism. The algorithm's encryption and decryption effects are numerically investigated, and its security is fully evaluated. Performance evaluations demonstrate its key sensitivity, robustness, and superiority over related algorithms in terms of information entropy, correlation coefficient, and resistance against differential attacks.