Triple chaotic image scrambling on RGB – a random image encryption approach

Praveenkumar, Padmapriya; Amirtharajan, Rengarajan; Thenmozhi, K.; Rayappan, John Bosco Balaguru

doi:10.1002/sec.1257

Cited by 41 publications

(18 citation statements)

References 28 publications

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“…Factors such as type of images, and the sizes of images are taken into consideration for accurate comparisons. The results of comparisons in Table 3 show that the proposed scheme is comparable with reference [15]. However, comparing the proposed algorithm with other algorithms presented in the literature shows that it compares well and its performance is good.…”

Section: Correlation Coefficientsmentioning

confidence: 37%

“…Also, in Table 5 comparisons of NPCR, UACI and MAE values for the proposed algorithm with that presented in references [15,17] for different images. These images are Peppers, Lena, and Greens that have the same pixels size which is 256 × 256 pixels.…”

Section: Differential Attack Analysismentioning

confidence: 96%

“…19 and compared with that in references [15,17,22,23] as can be seen from Table 3. These coefficients are calculated for Lena, Peppers, and Greens ciphered images and all have the same size of 256 × 256 pixels.…”

Section: Correlation Coefficientsmentioning

confidence: 99%

“…Comparisons of horizontal, vertical and diagonal of correlation coefficients of the proposed algorithm and that in references[15,17,22,23] …”

mentioning

confidence: 98%

“…Comparing NPCR, UACI, and MAE values for the proposed algorithm and that in references[15,17] for different images…”

mentioning

confidence: 99%

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Colored image encryption and decryption using multi-chaos 2D quadratic strange attractors and matrix transformations

Alsaedi

2016

Multimed Tools Appl

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Data security is an increasingly important issue. In this paper, a scheme to encrypt and decrypt colored images is presented in which two random secret keywords are used as parameters for quadratic maps with strange attractors. The scheme uses the well-known chaotic trait of sensitivity to initial conditions to ensure that the receiver generates the same sequences. After forming the quadratic maps and zeros removal from both maps, three codebooks are formed one from the original image and two from the two images of the quadratic maps. The input colored image is decomposed into three components and quantized using two of the three codebooks. The resulting image is subjected to partial extended Arnold's transform then to Gould transformation to hide image traces. The partial extended Arnold's matrix which is subjected to a determinant condition is studied for possible number of rotations for specific sizes of sub-blocks taken from a random image and then the results are used for encryption and decryption of different colored images. Then, the pixels of the components are shifted cyclically with a predefined number of shifts and quantized using the third codebook with maximum MSE. The results from the statistical analysis show that the pixels correlation is very low and the ciphered image is well shuffled. Also, the decrypted images have high PSNR at the receiver. Furthermore, compariosns with other schemes in the literature show that the performance of the proposed algorithm is high.

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Section: Correlation Coefficientsmentioning

confidence: 37%

Section: Differential Attack Analysismentioning

confidence: 96%

Section: Correlation Coefficientsmentioning

confidence: 99%

“…Comparisons of horizontal, vertical and diagonal of correlation coefficients of the proposed algorithm and that in references[15,17,22,23] …”

mentioning

confidence: 98%

“…Comparing NPCR, UACI, and MAE values for the proposed algorithm and that in references[15,17] for different images…”

mentioning

confidence: 99%

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Colored image encryption and decryption using multi-chaos 2D quadratic strange attractors and matrix transformations

Alsaedi

2016

Multimed Tools Appl

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New cellular automata-based image cryptosystem and a novel non-parametric pixel randomness test

Jeyaram

Radha

Rama

2016

Security Comm. Networks

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In this paper, a novel image encryption scheme is proposed based on permutation–diffusion architecture using cellular automata. In the permutation phase, Wolfram class III radius 2 cellular automata rules are utilized for shuffling the pixels of the plain image and in the diffusion phase; the rules based on unity attractors of elementary cellular automata are employed to encrypt the pixels of the shuffled plain image. Addition to the encryption scheme, a new non‐parametric statistical method for measuring the pixel randomness in the shuffled and encrypted images is also proposed in this paper. The strength of the proposed image encryption scheme is first assessed by standard methods for security analysis, and the pixel randomness is then determined by the newly proposed non‐parametric method. The results of the assessment exhibit the high security of the diffusion process and its computational efficiency. Copyright © 2016 John Wiley & Sons, Ltd.

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Secret Speech Hiding in Image Based on Quantization Level Modification

Abd-Alwahab

Wali

2020

Communications in Computer and Information Science

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Triple chaotic image scrambling on RGB – a random image encryption approach

Cited by 41 publications

References 28 publications

Colored image encryption and decryption using multi-chaos 2D quadratic strange attractors and matrix transformations

Colored image encryption and decryption using multi-chaos 2D quadratic strange attractors and matrix transformations

New cellular automata-based image cryptosystem and a novel non-parametric pixel randomness test

Secret Speech Hiding in Image Based on Quantization Level Modification

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