Image encryption using chaotic logistic map

Pareek, Navneet; Patidar, Vinod; Sud, K. K.

doi:10.1016/j.imavis.2006.02.021

Cited by 1,089 publications

(489 citation statements)

References 12 publications

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“…Where x0 the initial value and R is the control parameter, are considered as the keys where the function has chaotic behavior for 0< <1 and 3.57 < R < 4 [17]. On the other side, the twodimensional logistic map gives the system more security and expressed by the following two equations, (3) and (4) [18]:…”

Section: Chaotic System (Logistic Mapping)mentioning

confidence: 99%

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Image Encryption Based on Fractal Geometry and Chaotic Map

Mustafa¹

2018

djps

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Data security has become a critical issue nowadays. Sensitive data needs to be hidden from unauthorized users. In recent years, various types of images are stored and transmitted via internet. This make maintains the confidentiality, integrity and authenticity of images are a major task. Many techniques have been proposed to image encryption for the secure transmission of these images. One of the effective key of the image encryption is the using of fractal images because of the random and chaotic nature of fractals. This paper presents a proposed technique for image encryption based on fractal geometry and chaotic map. The proposed method includes encryption of color image at three stages. At first stage, the plain input image is encrypted by using the concepts of fractal geometry. In the second stage, the same picture is encrypted using the one-dimensional logistic mapping functions to generate a random image depend on the randomness nature of logistic function. Finally, in the third stage, the output encrypted images of the above two stages is merge by using the X-OR operation to generate the final encrypted image with high security attributes. Experimental results of the proposed method of encrypt images show that it has many effective features such as low relations between the pixels of encrypted image, large space key and high sensitivity to key in addition to high security. Therefore, it can be effectively protecting the security of encrypted images.

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Section: Chaotic System (Logistic Mapping)mentioning

confidence: 99%

“…On the other side, the twodimensional logistic map gives the system more security and expressed by the following two equations, (3) and (4) [18]:…”

Section: Chaotic System (Logistic Mapping)mentioning

confidence: 99%

Image Encryption Based on Fractal Geometry and Chaotic Map

Mustafa¹

2018

djps

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“…Lenna image. Therefore, we perform fair comparisons between the proposed LSIC and peer methods [6], [14], [15], [16], [17], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54]. in three following aspects:…”

Section: A Experiments Settings and Datasetmentioning

confidence: 99%

“…2006 [54]), we directly cite these reports for comparisons. Furthermore, we turn off LSBNoiseEmbedding function in all simulations because we want to: General test pattern 1024 Gray…”

Section: A Experiments Settings and Datasetmentioning

confidence: 99%

Design of image cipher using latin squares

Zhou²,

Noonan

et al. 2014

Information Sciences

167

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In this paper, we introduce a symmetric-key Latin square image cipher (LSIC) for grayscale and color images. Our contributions to the image encryption community include 1) we develop new Latin square image encryption primitives including Latin Square Whitening, Latin Square S-box and Latin Square P-box ; 2) we provide a new way of integrating probabilistic encryption in image encryption by embedding random noise in the least significant image bit-plane; and 3) we construct LSIC with these Latin square image encryption primitives all on one keyed Latin square in a new loom-like substitution-permutation network. Consequently, the proposed LSIC achieve many desired properties of a secure cipher including a large key space, high key sensitivities, uniformly distributed ciphertext, excellent confusion and diffusion properties, semantically secure, and robustness against channel noise. Theoretical analysis show that the LSIC has good resistance to many attack models including brute-force attacks, ciphertext-only attacks, known-plaintext attacks and chosen-plaintext attacks. Experimental analysis under extensive simulation results using the complete USC-SIPI Miscellaneous image dataset demonstrate that LSIC outperforms or reach state of the art suggested by many peer algorithms. All these analysis and results demonstrate that the LSIC is very suitable for digital image encryption. Finally, we open source the LSIC MATLAB code under webpage https://sites.google.com/site/tuftsyuewu/source-code.

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“…efficiency [1][2]. The iterative permutation-diffusion operations, suggested by Shannon for secure ciphers constructions, are widely adopted in chaos-based image ciphers.…”

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confidence: 99%

A New Chaos-based Image Cipher Using a Hash Function

Fu¹,

Bian²,

Jiang³

et al. 2017

IJNDC

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This paper presents a new chaos-based image cipher using a plaintext-related permutation. The cat map and Lorenz system are employed to shuffle the positions of image pixels and generate the diffusion keystream, respectively. The control parameters of the cat map, i.e. the permutation key, are determined by the Murmur2 hash value of the original image. Owing to the avalanche property of hash functions, completely different shuffled images will be produced even if there is a tiny difference between the original ones, and it helps accelerate the diffusion process. Experimental results indicate that the proposed scheme requires only one and two cipher cycles to achieve an acceptable and a satisfactory diffusion properties, respectively, whereas two and three cipher cycles are needed by typical schemes to achieve the same properties. Thorough security analysis is carried out, and the results demonstrate the satisfactory security of the proposed scheme.

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Image encryption using chaotic logistic map

Cited by 1,089 publications

References 12 publications

Image Encryption Based on Fractal Geometry and Chaotic Map

Image Encryption Based on Fractal Geometry and Chaotic Map

Design of image cipher using latin squares

A New Chaos-based Image Cipher Using a Hash Function

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