Image encryption scheme based on random fractional discrete cosine transform and dependent scrambling and diffusion

Wu, Jianhua; Zhang, Mengxia; Zhou, Nanrun

doi:10.1080/09500340.2016.1236990

Cited by 25 publications

(5 citation statements)

References 29 publications

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“…Moreover, it supplies absolutely competent correlation coefficients for diagonal, vertical, and horizontal cases. [3] 99.629 0.0006 0.0019 0.0021 [24] 99.730 0.0012 0.0151 0.0044 [8] 99.609 -0.0193 -0.0226 -0.0245 [2] 99.620 0.0277 0.0039 0.0172 [13] 99.683 0.0009 0.0025 0.0030 [17] 99.589 0.0003 0.0002 0.0003 [11] 99.690 0.0043 0.0021 0.0042 [25] 93.790 0.0259 0.0232 0.0012 [22] 98.798 0.0007 0.0011 0.0021 Proposed 99.782 0.0004 0.0025 0.0012…”

Section: Resultsmentioning

confidence: 99%

An image encryption tool based on the chaotic automorphism and Chirikov transformation

Catak,

Allahviranloo

2023

J. Math. Computer Sci.

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For some operations that use either color or gray-scale images the algorithms involving image encryption provide significant security. In this paper, a novel image encryption tool based on chaotic automorphism and the Chirikov transform is proposed. The lack of efficiency of the chaotic automorphism, such as ghost and miniature effects, is overcome with the help of the Chirikov transformation. Normalized pixel change rate, correlation coefficient, and histogram analysis are employed in order to validate the efficiency of the proposed method. According to the results, the proposed algorithm demonstrates its robustness against attacks based on statistical analysis.

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Section: Resultsmentioning

confidence: 99%

An image encryption tool based on the chaotic automorphism and Chirikov transformation

Catak,

Allahviranloo

2023

J. Math. Computer Sci.

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“…To add to these, there are also discrete fractional Fourier transform (DfrFT), discrete fractional cosine transform (DFrCT), and discrete fractional Sine transform (DFrST). Haar wavelet transform de-correlates the image pixels by decomposing into averaging and differencing components [32].The Hilbert transform exhibits edge enhancing properties and hence finds its use in processing of images and phase observation [33]. Radial Hilbert transform can increases the strength with expanded key space [34].…”

Section: Literature Surveymentioning

confidence: 99%

Nature Inspired and Transform Based Image Encryption Techniques: A Comparative Study

R¹,

Bhat²,

Patil³

2020

Adv. sci. technol. eng. syst. j.

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In this paper, performances of two variations of chaos based algorithms are compared. First algorithm is a self-adaptive color image encryption algorithm is proposed based on Radial Hilbert Transform and chaos. This technique uses chaotic random phase masks operated on the transformed pixels to increase the randomness in confusion and diffusion operations. Also, a random jumbling process is used at the final stage to increase the randomness in the cipher image. Part of the plain image is used to generate the keys for encrypting another part. Second algorithm is inspired by the bio operations resembling confusion and diffusion. Use of a scrambler improves the performance of this algorithm. Proposed work elaborates the results of the suitability analysis conducted on various kinds of input images, namely, satellite images, face images and handwritten signature images. Performance parameters considered for the analysis include horizontal correlation, vertical correlation, diagonal correlation, and net changing pixel rate, unified average change in intensity, entropy and encryption time taken by the encryption techniques.

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“…A chaotic system is a type of nonlinear system that has cryptographic characteristics such as pseudo-randomness and initial value sensitivity. In recent years, many image encryption schemes based on chaotic systems have been proposed [14][15][16][17][18][19]. Based on these, a meaningful plain image is converted into a noise-like or texture-like cipher image, and the size of the cipher image is equal to that of the plain image.…”

Section: Introductionmentioning

confidence: 99%

Image Encryption Scheme with Compressed Sensing Based on a New Six-Dimensional Non-Degenerate Discrete Hyperchaotic System and Plaintext-Related Scrambling

Sun

Wang

Zhao

2021

Entropy

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Digital images can be large in size and contain sensitive information that needs protection. Compression using compressed sensing performs well, but the measurement matrix directly affects the signal compression and reconstruction performance. The good cryptographic characteristics of chaotic systems mean that using one to construct the measurement matrix has obvious advantages. However, existing low-dimensional chaotic systems have low complexity and generate sequences with poor randomness. Hence, a new six-dimensional non-degenerate discrete hyperchaotic system with six positive Lyapunov exponents is proposed in this paper. Using this chaotic system to design the measurement matrix can improve the performance of image compression and reconstruction. Because image encryption using compressed sensing cannot resist known- and chosen-plaintext attacks, the chaotic system proposed in this paper is introduced into the compressed sensing encryption framework. A scrambling algorithm and two-way diffusion algorithm for the plaintext are used to encrypt the measured value matrix. The security of the encryption system is further improved by generating the SHA-256 value of the original image to calculate the initial conditions of the chaotic map. A simulation and performance analysis shows that the proposed image compression-encryption scheme has high compression and reconstruction performance and the ability to resist known- and chosen-plaintext attacks.

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Image encryption scheme based on random fractional discrete cosine transform and dependent scrambling and diffusion

Cited by 25 publications

References 29 publications

An image encryption tool based on the chaotic automorphism and Chirikov transformation

An image encryption tool based on the chaotic automorphism and Chirikov transformation

Nature Inspired and Transform Based Image Encryption Techniques: A Comparative Study

Image Encryption Scheme with Compressed Sensing Based on a New Six-Dimensional Non-Degenerate Discrete Hyperchaotic System and Plaintext-Related Scrambling

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