Flexible multiple-image encryption algorithm based on log-polar transform and double random phase encoding technique

Gong, Li-Hua; Liu, Xingbin; Zheng, Fen; Zhou, Nanrun

doi:10.1080/09500340.2013.831139

Cited by 70 publications

(14 citation statements)

References 32 publications

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“…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]. Chaotic maps, which have the property of being highly sensitive to initial conditions, are also widely used in multimedia encryption techniques [27].…”

Section: Introductionmentioning

confidence: 99%

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%

Audio encryption based on the cosine number transform

Lima

Neto

2015

Multimed Tools Appl

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“…Their proposed cryptosystem can securely encrypt color image with multiple choice of parameters for Fresnel diffraction as keys. Lihua et al [17] presented a multiple-image cryptosystem which combines, in the fractional Fourier domain, log-polar transform with DRPE. Their system starts by utilizing the inverse log-polar transform to transform plain images to annular domains.…”

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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“…Traditional image encryption methods are mainly based on standard data encryption algorithms [5,7,8]. Since the chaotic encryption algorithm proposed in [18], many works based on chaotic systems have been proposed [8,[19][20][21][22][23][24][25][26][27][28][29][30]. Pak and Huang proposed a simple and effective image encrytion method based on the difference of outputs from two identified 1D chaotic systems [26].…”

Section: Related Workmentioning

confidence: 99%

Image Encryption with The Cross Diffusion of Two Chaotic Maps

Jiao¹,

Peng²,

Duan³

2019

KSII TIIS

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Information security has become increasingly important with the rapid development of mobile devices and internet. An efficient encryption system is a key to this end. In this paper, we propose an image encryption method based on the cross diffusion of two chaotic maps. We use two chaotic sequences, namely the Logistic map and the Chebyshev map, for key generation which has larger security key space than single one. Moreover, we use these two sequences for further image encryption diffusion which decreases the correlation of neighboring pixels significantly. We conduct extensive experiments on several well-known images like Lena, Baboon, Koala, etc. Experimental results show that our algorithm has the characteristics of large key space, fast, robust to statistic attack, etc.

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Flexible multiple-image encryption algorithm based on log-polar transform and double random phase encoding technique

Cited by 70 publications

References 32 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

Image Encryption with The Cross Diffusion of Two Chaotic Maps

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