A novel image encryption algorithm based on self-orthogonal Latin squares

Xu, Mingxing; Tian, Zihong

doi:10.1016/j.ijleo.2018.06.112

Cited by 41 publications

(30 citation statements)

References 24 publications

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“…The aim of this research work is to study the compression and encryption combinations in digital photographs. These are both data compression and encryption processes [5] used to ensure maximum security for photos transferred. Image Segmentation is a process in which a digital image is separated into different subgroups, called Image Objects [6].…”

Section: Introductionmentioning

confidence: 99%

Improving Data Security using Compression Integrated Pixel Interchange Model with Efficient Encryption Technique

Manikyam¹,

Devi²

2021

IJACSA

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We exist in a digital era in which communication is largely based on the transfer of digital knowledge over data networks. Disclosures are sometimes regarded as a transmitter that transmits a digital file. A system of encoding, efficient and easy yet secure model must be developed for quick and prompt transmission. The file is sent from source to destination where it is difficult to maintain the privacy of knowledge. The encryption of images is vital for securing sensitive information or images from unauthorized readers. By using a technique of selective encryption, the original image pixel values are completely obscured in this way and an intruder cannot retrieve statistical data from its original image. This paper introduces a new methodology for the use of a protective facility for the transmission of digital data over the public network. A highly established field with image compression is allowed for speedy transmission and efficient information storage. During the initial process, the original image is divided into blocks of the same size and sub segmentation is performed for accurate extraction of images within the boundaries. A random matrix is used to swap the pixels of the neighboring sub blocks. Afterwards, each pixel is randomly exchanged for the neighboring blocks with a random matrix, then each block is encrypted with the proposed function and then the encrypted data can be stored in cloud. The proposed method uses Image Segmentation based Compression Model with Pixel Interchange Encryption (ISbCPIE) Model for providing high security to the Image transmitted in the network. Compressor is needed to achieve rapid transmission and efficient storage. The proposed model is compared with the traditional models and the results show that the proposed model security levels are better than the existing models.

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Section: Introductionmentioning

confidence: 99%

Improving Data Security using Compression Integrated Pixel Interchange Model with Efficient Encryption Technique

Manikyam¹,

Devi²

2021

IJACSA

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“…As far as permutation is concerned, in theory, any reversible position transform can be used for image encryption. Latin squares are such popular transforms which help to achieve good results of permutation [ 53 , 54 , 55 ]. Xu et al extended the use of Latin squares in image encryption, and they treated the pixel-level image as a 3D bit matrix and then conducted operations of Latin cubes on the 3D matrix, and the experimental results showed that the proposed image encryption achieves both a desirable level of security and high efficiency [ 56 ].…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Based on Pixel-Level Diffusion with Dynamic Filtering and DNA-Level Permutation with 3D Latin Cubes

Shi

et al. 2019

Entropy

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Image encryption is one of the essential tasks in image security. In this paper, we propose a novel approach that integrates a hyperchaotic system, pixel-level Dynamic Filtering, DNA computing, and operations on 3D Latin Cubes, namely DFDLC, for image encryption. Specifically, the approach consists of five stages: (1) a newly proposed 5D hyperchaotic system with two positive Lyapunov exponents is applied to generate a pseudorandom sequence; (2) for each pixel in an image, a filtering operation with different templates called dynamic filtering is conducted to diffuse the image; (3) DNA encoding is applied to the diffused image and then the DNA-level image is transformed into several 3D DNA-level cubes; (4) Latin cube is operated on each DNA-level cube; and (5) all the DNA cubes are integrated and decoded to a 2D cipher image. Extensive experiments are conducted on public testing images, and the results show that the proposed DFDLC can achieve state-of-the-art results in terms of several evaluation criteria.

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“…A host of image cryptosystems have been produced through the combination of chaotic maps and some another instrument like 15-puzzle [31], Josephus Problem [32], knight [33], cellular automaton [34] Latin squares [35] and Latin cubes [36] to name a few. Many image ciphers were developed using the permutation and swapping operations at the different levels of granularity like bit level scrambling [19]- [24], [26], [37], pixels level scrambling [20], [25]- [27], DNA level scrambling [9]- [15], block level scrambling [16]- [18].…”

Section: Introductionmentioning

confidence: 99%

DNA Strands Level Scrambling Based Color Image Encryption Scheme

et al. 2020

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In the past, many image encryption schemes have been developed through the swapping operations at the different levels of granularity. These levels span bits, Deoxyribonucleic acid (DNA) molecules, pixels, blocks of pixels. In this study, a new scheme for the encryption of color images based on the DNA strands level scrambling (DNASLS) and chaotic system has been proposed. After a color image is input, it is decomposed into the red, green and blue components. After it, these components are merged to form a big single image. Intertwining logistic map (ILM) has been used for the random data which generates three streams of random numbers. These streams have been further manipulated in such a way that nine streams are spawned out of them. One stream out of these nine streams has been used for the generation of a key image. Two streams have been used to DNA-encode the big single image and the key image. Afterwards, the strands of DNA-encoded single image are swapped with each other. Four streams determine the addresses of two DNA encoded pixels for the selection. A yet another stream is being used to select a particular strand from the DNA strands. To create the diffusion effects, an XOR operation has been done between the DNA encoded image after the swapping of strands and the DNA encoded key image. Finally, the last and ninth stream has been used to decode the DNA-encoded pixels into the decimal form. Purely random numbers with no interdependence have been employed in the entire encryption process. The effects of plaintext sensitivity have been achieved through the incorporation of Secure Hash Algorithm-256 or SHA-256 hash codes. In the end, the experiment and the security analysis have been performed. The results of the validation metrics like information entropy(7.9973), average key sensitivity(99.61%) and mean absolute error(84.7158) demonstrate the security, defiance to the number of attacks and a potential for real world application of the proposed image cipher.

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A novel image encryption algorithm based on self-orthogonal Latin squares

Cited by 41 publications

References 24 publications

Improving Data Security using Compression Integrated Pixel Interchange Model with Efficient Encryption Technique

Improving Data Security using Compression Integrated Pixel Interchange Model with Efficient Encryption Technique

Image Encryption Based on Pixel-Level Diffusion with Dynamic Filtering and DNA-Level Permutation with 3D Latin Cubes

DNA Strands Level Scrambling Based Color Image Encryption Scheme

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