A Color Image Encryption Scheme Combining Hyperchaos and Genetic Codes

Nazir, Hira; Bajwa, Imran Sarwar; Abdullah, Saima; Kazmi, Rafaqut; Ullah, Muhammad Sami

doi:10.1109/access.2022.3143096

Cited by 23 publications

(12 citation statements)

References 90 publications

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“…Similarly to MSE, a lower MAE indicates a higher quality reconstructed image 41 – 43 The MAE is defined as follows: MAE=1M×N∑i=0M−1∑j=0N−1|Pij−Cij|.…”

Section: Experimental Analysis Of the Proposed Algorithmmentioning

confidence: 99%

Hybrid image encryption algorithm based on compressive sensing, gray wolf optimization, and chaos

Abdul-Kareem,

Mahmoud Al-Jawher

2023

J. Electron. Imag.

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Growing reliance on digital communications has necessitated development of dependable and secure technologies to ensure that the transmission and reception of images over the Internet do not pose a risk to the data of individuals and governments. We propose developing a hybrid image encryption and compression algorithm by combining compressive sensing, the gray wolf algorithm, and multidimensional chaotic systems. It aims to generate a highly secure encrypted image while conserving transmission and storage resources. This algorithm overlaps several stages designed to protect vital images while minimizing size. First, the image is converted to the frequency domain using the discrete wavelet transform. Then, the discrete wavelet transform coefficients are scrambled globally using the Waleed-Ali Map and the gray wolf algorithm. Second, the confused image is measured by a parameters-controlled matrix to reduce transmission costs. The final encrypted image is obtained after performing the diffusion operation with a bitstream derived from the Nahrain chaotic map. The average peak signal-to-noise ratio score was 53.1995, and the average mean squared error score was 0.6130, demonstrating that the plaintext and decrypted images are identical. The average correlation coefficient score was −0.010095; the average entropy analysis was 7.9987; and the average number of pixel change rate and unified average changing intensity analyses were 99.60 and 33.52, respectively. The experimental results demonstrate the algorithm's efficiency and robustness, as well as the high quality of the reconstructed image.

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“…Similarly to MSE, a lower MAE indicates a higher quality reconstructed image 41 – 43 The MAE is defined as follows: MAE=1M×N∑i=0M−1∑j=0N−1|Pij−Cij|.…”

Section: Experimental Analysis Of the Proposed Algorithmmentioning

confidence: 99%

Hybrid image encryption algorithm based on compressive sensing, gray wolf optimization, and chaos

Abdul-Kareem,

Mahmoud Al-Jawher

2023

J. Electron. Imag.

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“…Wang et al [6] used 4D chaotic system and a DNA sequence to construct the encryption scheme for color images. Nazir et al [7] used 4D hyperchaotic model and genetic codes for cipher the image. Yan et al [8] investigated an image cipher process that depends on a 4D hyperchaotic model for color image.…”

Section: Introductionmentioning

confidence: 99%

An efficient image encryption model based on 6D hyperchaotic system and symmetric matrix for color and gray images

Panwar,

Biban,

Chugh

et al. 2024

Heliyon

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“…Many authors have reported different types of encryption algorithms that are comprised of a hyperchaotic system along with logistic maps [4][5][6], S-box [7][8], discrete wavelet transforms (DWT) [9][10], genetic codes [11][12][13][14][15], sparse matrices [16], etc. Nazir et al [15] demonstrated RGB color image encryption using S-box substitution in the DNA domain. They have used a 4D hyperchaotic system to design the S-box for a better encryption algorithm.…”

Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Technique with Four Stage Bit-Interspersing and A 4D-Hyperchaotic System

Pal¹,

Mahanty

Pathak

et al. 2023

ECTI-CIT Transactions

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This paper introduces a new technique of color image encryption that includes four stages of bit interspersing and a 4D-hyperchaotic system. At first, the pixel values for different RGB channels of a plane color image were represented by an 8-bit binary number. The bit interspersing operation has been implemented on the bit stream generated by considering a particular block size for each color channel and reshaping it to the original size. The cipher image was then constructed by performing a bit XOR operation on the resultant image and the chaotic sequences generated by a 4D hyperchaotic system. The initial state variables of the said chaotic system have been developed from a 32-character secret key. This operation has been repeated three times, considering different block sizes of the newly generated cipher image after each stage. The main strengths of the proposed algorithm are the bit interspersing and image-dependent chaotic key base pixel substitution by bitwise XOR operation. A set of standard security tests are conducted to test the reliability of the suggested encryption method. Comparing the crypto-parameters to other recent works, we find that the proposed algorithm is better than the other methods.

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A Color Image Encryption Scheme Combining Hyperchaos and Genetic Codes

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 23 publications

References 90 publications

Hybrid image encryption algorithm based on compressive sensing, gray wolf optimization, and chaos

Hybrid image encryption algorithm based on compressive sensing, gray wolf optimization, and chaos

An efficient image encryption model based on 6D hyperchaotic system and symmetric matrix for color and gray images

A Novel Image Encryption Technique with Four Stage Bit-Interspersing and A 4D-Hyperchaotic System

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