Color image security system based on discrete Hartley transform in gyrator transform domain

Abuturab, Muhammad Rafiq

doi:10.1016/j.optlaseng.2012.09.008

Cited by 74 publications

(35 citation statements)

References 36 publications

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“…This is mainly due to the increasing ease to share digital image, video and audio through communication networks [22]. In this scenario, steganographic and watermarking schemes have the purpose of providing privacy and autenticity using information hiding fundamentals [4, 6, 7, Juliano B. Lima juliano bandeira@ieee.org 1 Department of Electronics and Systems, Federal University of Pernambuco, Av. da Arquitetura, S/N, 50740-550, Recife, Brazil 20,28].…”

Section: Introductionmentioning

confidence: 99%

“…da Arquitetura, S/N, 50740-550, Recife, Brazil 20,28]. On the other hand, multimedia encryption schemes employ several strategies and mathematical tools with the purpose of making perceptual and statistical aspects of an image or an audio file seem noisy [1,12,15,29,30]. In the optical domain, image encryption can be performed by using fractional Fourier transforms and random phase encoding, for instance [9,24].…”

Section: Introductionmentioning

confidence: 99%

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Audio encryption based on the cosine number transform

Lima

Neto

2015

Multimed Tools Appl

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In this paper, we introduce an audio encryption scheme based on the cosine number transform (CNT). The transform, which is defined over a finite field, is recursively applied to blocks of samples of a noncompressed digital audio signal. The blocks are selected using a simple overlapping rule, which provides diffusion of the ciphered data to all processed blocks. A secret-key is used to specify the number of times the transform is applied to each one of such blocks. Computer experiments are carried out and security aspects of the proposed scheme are discussed. Our analysis indicates that the method meets the main security requirements of secret-key cryptography. More specifically, after the encryption of 16-bit audio signals, correlation coefficients significantly close to 0 and entropy values close to 16 were obtained. Furthermore, the flexibility of the method easily allows key space sizes greater than 2 256 and provides robustness against differential, known-plaintext and chosen-plaintext attacks.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Audio encryption based on the cosine number transform

Lima

Neto

2015

Multimed Tools Appl

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“…Finally, this combined image is ciphered by using the traditional DRPE technique. According to Arnold and discrete Hartley transform in gyrator transform domain, a color image cryptosystem is proposed by Muhammad et al [1]. Nanrun et al [44] presented a hybrid image compression-encryption technique which achieves compression and encryption simultaneously.…”

Section: Related Workmentioning

confidence: 99%

Chaos-based model for encryption and decryption of digital images

Elgendy

Sarhan

Eltobely

et al. 2015

Multimed Tools Appl

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This paper introduces a secure chaos-based model for ciphering and deciphering of digital images. The proposed approach is composed of successive confusion and diffusion stages. The confusion stage is repeated n rounds using a different key in each round. The output of the confusion stage is subjected to diffusion stage which is repeated m rounds with a different key for each round. The nested iterations in the confusion and diffusion stages with a different key for each round enlarges the key space which enhances the proposed image cryptosystem security level. A security investigation is done on a family of 2D chaotic confusion maps to select the one with highest security level to be used with the proposed image cryptosystem. The results demonstrated that the Standard map has the highest security level among the examined 2D chaotic confusion maps because it is more complicated and it has a large key space. The proposed image cryptosystem is compared to other three recent image cryptosystems using different security analysis factors including statistical tests, key space analysis, information entropy test, maximum deviation analysis, irregular deviation analysis, and avalanche effect differential analysis. The results demonstrated that, the proposed image cryptosystem with Standard map outperforms all of the other examined image encryption techniques from security point of view.

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“…The Optics offers several freedom degrees in optical beams can be modulated, like as the phase, amplitude, wavelength, and polarization. So, many optical encryption schemes have been introduced [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Utilization of Double Random Phase Encoding for Securing Color Images

Mohammed¹

2018

IJCA

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This paper investigates the Double Random Phase Encoding (DRPE) implementation in encrypting color digital images. The color optical image cipher works through splitting color plainimage into red (R), green (G) and blue (B) channels. The color plainimage RGB components are multiplied with the random phase mask (RPM) and transformed with Fourier Transform (FT). The modulated RGB components are again multiplied using the second RPM and subjected again to inverse FT. A set of experimental tests using different color images has been employed to study the security of DRPE for encrypting digital color images. Experimental results demonstrated the efficiency of DRPE for encrypting digital color images and its immunity regarding the most potential attacks. General TermsSecurity, Image Encryption.

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Color image security system based on discrete Hartley transform in gyrator transform domain

Cited by 74 publications

References 36 publications

Audio encryption based on the cosine number transform

Audio encryption based on the cosine number transform

Chaos-based model for encryption and decryption of digital images

Utilization of Double Random Phase Encoding for Securing Color Images

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