RGB image encryption based on symmetric keys using Arnold transform, 3D chaotic map and affine hill cipher

Qureshi, Shaima; Lone, Manzoor Ahmad

doi:10.1016/j.ijleo.2022.168880

Cited by 31 publications

(18 citation statements)

References 41 publications

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“…Meanwhile, the fixed diffusion matrix also greatly reduces the diffusion effect [43]. Shaima, et al designed the affine Hill transform, whose essence was still the matrix diffusion, but did not give the generation method of the diffusion matrix set [44]. In addition, we also found that the modulo value of the diffusion matrix in these algorithms have to be 1.…”

Section: Introductionmentioning

confidence: 92%

Image encryption algorithm based on the Matryoshka transform and modular-inverse matrix

Zhang

2023

Preprint

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The transmission of digital image in Internet is convenient, but at the same time the great risk of information leakage is existed. To meet the requirements of image content security and real-time communication, we propose an image encryption algorithm based on the Matryoshka transform and modular-inverse matrix. Firstly, a new Matryoshka transform is designed to scramble the original image; secondly, the global chaotic exclusive or operation is performed on the scrambled image, and the diffused result is converted into an image block set; thirdly, the chaotic sequence is used to generate a set of modular odd matrix, and the set of the modular-inverse matrix is calculated; finally, the matrix operation of modular multiplication is performed on the image block set and the modular-inverse matrix set to generate the encrypted image. Meanwhile, the sender passes the secret keys to the recipient using Diffie-Hellman over the elliptic curve. Experimental results and algorithm analyses show that the proposed algorithm has the excellent encryption effect and the strong ability to resist common attacks. Therefore, the proposed algorithm can be applied to the image transmission under the network platform with strong security, desirable encryption effect and high efficiency.

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Section: Introductionmentioning

confidence: 92%

Image encryption algorithm based on the Matryoshka transform and modular-inverse matrix

Zhang

2023

Preprint

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“…In [13] suggested an encryption algorithm for 3D images based on the chaotic values generated by the chaotic system in addition to the substitution technique taken from the AES algorithm, the proposed method gave competitive results. In [14] proposed a triple image coding technique that combines the chaotic system‫و‬ Arnold synergistic approach and the affine Hill technique. The proposed method is good but very complex.…”

Section: Related Workmentioning

confidence: 99%

Image Encryption Using Lorenz Chaotic System

Shakir

Salim

Al-Rahman

et al. 2023

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In the age of the Internet, a lot of images are circulated among users, and some of these images contain financial or personal information that requires confidentiality. Encryption algorithms existed for a long time, and the data used was focused on the text data, while the multimedia data was neglected for a long time. In addition, there are significant shortcomings in 3D image coding techniques. This paper proposed a method for image encrypted and decrypted electronically using the Lorenz chaotic system, the supposed algorithm was developed by using the three equations of the Lorenz system, before that, the image pixels are destroyed using reversible shifting and rotating processes to increase the randomness of the encrypted pixels and thus the difficulty of cracking the cipher. Then he supposed technique gave the following results: The average entropy calculation was (7.285) before image encryption and (7.9974) after image encryption with an average NPCR of (99.65%) and UACI was (30.35%) this confirms that the proposed method is reliable and applicable. Moreover, the suggested technique gives the best outcomes when compared to other similar works.

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“…Among them, the encryption methods based on chaos theory for the fabrication of data security algorithms is a fundamental alluring option used by researchers. In recent years, various encryption schemes for digital images based on chaotic maps have been suggested [3][4][5][6][7][8][9][10][11][12][13][14]. These schemes either use lowdimensional and high-dimensional chaotic maps, or a mixture of them, or enhance the existing chaotic structures, or combine them with other techniques to encrypt the digital images.…”

Section: Introductionmentioning

confidence: 99%

Encryption scheme for the security of digital images based on Josephus Traversal and Chaos theory

Ahmad Lone

2024

Steganography - The Art of Hiding Information [Working Title]

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A synergistic approach based on the Josephus traversal and chaos theory is suggested for the security of digital images. To encrypt the digital images, a combination of the Josephus Traversal principle and the 2-dimensional Hénon map is employed for the secure transmission of digital data. The two distinct key matrices are used in the Josephus principle to cause bit-level shuffling throughout the image. These two distinct key matrices are effectively formed by the chaotic streams generated by the two-dimensional Hénon map. The system becomes more unpredictable because the Josephus traversal employs a different key set for every individual pixel to scramble it at the bit level. Moreover, the image is shuffled and diffused at the pixel level using the same streams produced by chaotic structure. The test images are used to determine the strength of the suggested system. The numerical results and comparative findings of the various quality parameters such as key space, information entropy, correlation coefficient, histogram analysis, differential attack indicators (NPCR and UACI) verify the strength of the encryption system. The acceptable key space, numerical values of entropy approaches to ideal value, correlation coefficient values close to 0, and satisfactory results of theoretical value tests verify the robustness of the employed scheme to resist various types of cryptanalytical attacks.

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RGB image encryption based on symmetric keys using Arnold transform, 3D chaotic map and affine hill cipher

Cited by 31 publications

References 41 publications

Image encryption algorithm based on the Matryoshka transform and modular-inverse matrix

Image encryption algorithm based on the Matryoshka transform and modular-inverse matrix

Image Encryption Using Lorenz Chaotic System

Encryption scheme for the security of digital images based on Josephus Traversal and Chaos theory

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