A new fast chaos-based image scrambling algorithm

Boriga, Radu; Cristina, Dascalescu Ana; Priescu, Iustin; Filiș, Cristina

doi:10.1109/iccomm.2014.6866696

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…Image scrambling techniques generally scramble the pixel location of digital images in such a manner that they become chaotic and Indistinguishable. [3] There are two types of scrambling methods, one is based on 2D matrix transformation and the other is based on 2D Arnold transformation, [4] Encryption based on 2D Arnold transformation is not suitable for images with different number of rows and columns, it increases the data redundancies which automatically increases the disk size of such images and reduces the quality [4].…”

Section: Introductionmentioning

confidence: 99%

Image Encryption System based on Length Three Moduli Set

Peter¹

2018

IJCA

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Digital images have found usage in almost all our everyday applications. These images sometimes contain confidential and intelligible information which need to be protected when stored on memory or transmitted over networks (Intranet or Internet). Many techniques have been proposed to deal with this security issues in the past. This paper proposes a simple scrambling algorithm to encrypt and decrypt the grey level image based on random number generation and Residue Number System (Forward and Reverse Conversion). The image is first encrypted by changing the position of each pixel in the original image without changing the value of grey level. The original image reads row by row, pixel by pixel and each pixel will take a new position in the scrambled image. The new position is chosen based on random number generation from the random number generator. The key will be generated as a matrix during the encryption process and also the key saves the position of each pixel in the encrypted/scrambled image. The encryption layer transforms the scrambled image to moduli images which automatically adds an extra security layer to our data. The encrypted moduli images is decrypted by decoding the moduli images and converting them back to a single scrambled image (Reverse Conversion) and the single scrambled image back to the Plain and Original Image by using the saved key matrix. This scheme achieves an enhanced image encryption process and a more efficient decryption process without loses of any inherent information of the recovered plain image.

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Section: Introductionmentioning

confidence: 99%

Image Encryption System based on Length Three Moduli Set

Peter¹

2018

IJCA

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“…Transforming a plain image into a meaningless noise to eliminate the high correlation between adjacent is the aim of scrambling. Various image scrambling techniques are used in pay-TV, defense purposes, medical domain, private video conferencing and various other applications [28], [19].…”

Section: Introductionmentioning

confidence: 99%

A Comparative study on Cryptographic Image Scrambling

Mondal¹,

Biswas²,

Mandal³

2017

Annals of Computer Science and Information Systems

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Abstract-In the last few decades, a numerous number of image encryption algorithm has been proposed based on scrambling. Scrambling is the most crucial part of confusiondiffusion based encryption techniques. In the current scenario, the scrambling techniques are used without knowing the cryptographic effect, quality and computational complexity. Hence, an comparative study on scrambling techniques (permutation) is required. In this paper, a comparative study has been done on different scrambling techniques like matrix transformation, bit plane scrambling, 2D mapping and key based row and columns shifting techniques. To determine the quality and efficiency of the scrambling techniques, correlation, entropy, computational complexity have been considered. From the test results it was found that matrix based image scrambling applied on Arnold Transform was the best among the considered techniques in terms of correlation.

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Comparative analysis of image scrambling sequence generation method with Arnold

Lavanya

Kumar

2017

2017 International Conference of Electronics, Communication and Aerospace Technology (ICECA)

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A new fast chaos-based image scrambling algorithm

Cited by 5 publications

References 12 publications

Image Encryption System based on Length Three Moduli Set

Image Encryption System based on Length Three Moduli Set

A Comparative study on Cryptographic Image Scrambling

Comparative analysis of image scrambling sequence generation method with Arnold

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