A Color Image Encryption Technique Based on Bit-Level Permutation and Alternate Logistic Maps

Bisht, Ankita; Dua, Mohit; Dua, Shelza; Jaroli, Priyanka

doi:10.1515/jisys-2018-0365

Cited by 33 publications

(13 citation statements)

References 46 publications

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“…Values of

of Black and White images are extremely good, while those of House are worse. The quality for each of permutation and diffusion processes in this example is better than those in recent works, for example, Reference [ 74 , 75 ]. Chosen-plaintext and chosen-ciphertext attacks In this work, the permutation and diffusion processes are considered separately.…”

Section: Example and Simulationmentioning

confidence: 65%

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Novel Models of Image Permutation and Diffusion Based on Perturbed Digital Chaos

Hoang

Assad

2020

Entropy

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Most of chaos-based cryptosystems utilize stationary dynamics of chaos for the permutation and diffusion, and many of those are successfully attacked. In this paper, novel models of the image permutation and diffusion are proposed, in which chaotic map is perturbed at bit level on state variables, on control parameters or on both. Amounts of perturbation are initially the coordinate of pixels in the permutation, the value of ciphered word in the diffusion, and then a value extracted from state variables in every iteration. Under the persistent perturbation, dynamics of chaotic map is nonstationary and dependent on the image content. The simulation results and analyses demonstrate the effectiveness of the proposed models by means of the good statistical properties of transformed image obtained after just only a single round.

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“…Values of

Section: Example and Simulationmentioning

confidence: 65%

“…The quality for each of permutation and diffusion processes in this example is better than those in recent works, for example, Reference [ 74 , 75 ].…”

Section: Example and Simulationmentioning

confidence: 65%

Novel Models of Image Permutation and Diffusion Based on Perturbed Digital Chaos

Hoang

Assad

2020

Entropy

View full text Add to dashboard Cite

show abstract

“…To enhance the security of algorithm the shuffled image is again encrypted by the diffusion process. In this stage, change the pixel values of every shuffled image using one of the discrete chaotic systems such as Lorenz or Lu (Bisht et al, 2020;Amigo et al, 2007). Finally, combined output of previous step results in encrypted image or also known as cipher image.…”

Section: Encryption Algorithmmentioning

confidence: 99%

A Novel Feature Extraction Dual DCT-DWT Image Watermarking Combined with Chaos-Based Cryptosystem

Rinki¹,

Verma²,

Choudhury³

et al. 2021

Journal of Computer Science

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As a result of the emerging technologies such as Internet-of-Things (IoT), data analysis and automation in many aspects of identity, watermarking has become increasingly important. A majority of prior systems focused on watermark embedding and recovery techniques for binary and grey-scale images in one specified region of the cover image, making the system less dependable. This study develops a novel feature extraction based blind cryptographic watermarking mechanism which provides multi-layered protection to digital data to significantly improve the watermarking system's characteristics such as robustness, visible quality and security. A hybrid algorithm is proposed by combining DCT and multilevel DWT transformation technique to provide copyright protection and authentication to digital image over the internet. Unlike the previous model here both the host and watermark images are considered colored. Prior to embedding, a layer wise encryption is performed on watermark using Chaosbased cryptosystem to enhance the security of proposed system. It is processed by applying confusion and diffusion process on individual RBG (Red, Green and Blue) components of watermark image. Then the cover image and watermark image are directed by DCT coefficient and multiregion Discrete wavelet transformation to embed the watermark in both high and low sub band of cover image. Thus, by embedding the watermark twice in low and high regions of the cover image, the algorithm's robustness is considerably improved. For better imperceptibility, the proposed method also applies novel perception using SSIMlPT metric to extract the similar features between cover image and watermark image. This is done by dividing the cover image and watermark image into non overlapping blocks of size 8x8 respectively. Now, the best match blocks of cover image are chosen for further embedding a watermark in both low-frequency and high-frequency regions of cover image. In addition, the use of non-consecutive blocks of pixels to contain the watermark makes the system more resistant to a range of attacks. In an experimental scenario, the approach is evaluated using a variety of quality criteria and watermark removal attacks. In comparison to other existing systems, the results suggest that the model can allow invisible watermarking as well as excellent attack resistance.

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“…Wang et al [34] proposed a multi-dynamic segmented coupled mapping network with well chaotic behavior and designed an image encryption scheme based on it, which satisfies the cryptographic requirements. In [35], Dua et al suggested a cryptographic operation for color images using alternate logistic maps. The parameters of the Arnold cat mapping were generated with logistic sine maps and logistic tent maps, the produced random sequences were applied to the bit-plane permutation, followed by combining the bit planes into pixel matrices, which were then scrambled and diffused by the chaotic sequences generated from alternate logistic maps.…”

Section: Introductionmentioning

confidence: 99%

CIE-LSCP: color image encryption scheme based on the lifting scheme and cross-component permutation

Chen

Gong

Gan

et al. 2022

Complex Intell. Syst.

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Encryption of meaningful images into unidentifiable noise-like images can improve the security of images during storage and transmission. In this paper, a novel color image encryption method based on the lifting scheme and cross-component permutation (CIE-LSCP) is introduced. First, original image is divided into red, green and blue components, and then the three components are processed by a preprocessing strategy based on the lifting scheme (PSLS) to change the statistical distribution of the pixels. Second, a block-based cross-component permutation based on index vectors (BCPIV) is presented to divide three preprocessed components into blocks and perform the cross-component permutation operation on them, and three random matrices are utilized to determine the target component, target block and target pixel position of the current pixel to be moved, respectively. Subsequently, a multi stochastic diffusion based on random sequences (MSDRS) is developed to alter the pixel values of the permutated components, and finally a ciphertext image is gotten by merging the three components. Moreover, the SHA256 hash values of the plaintext image are used to obtain the initial parameters of the chaotic system, and the obtained chaotic sequences are applied in the image encryption process. Wherein the generated random sequences are highly reliant on the plaintext image, making the encryption scheme resistant to both known-plaintext attacks and chosen-plaintext attacks. Experimental results demonstrate that the proposed scheme has good security and effectiveness and can be applied for secure transmission of digital images over the Internet.

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A Color Image Encryption Technique Based on Bit-Level Permutation and Alternate Logistic Maps

Cited by 33 publications

References 46 publications

Novel Models of Image Permutation and Diffusion Based on Perturbed Digital Chaos

Novel Models of Image Permutation and Diffusion Based on Perturbed Digital Chaos

A Novel Feature Extraction Dual DCT-DWT Image Watermarking Combined with Chaos-Based Cryptosystem

CIE-LSCP: color image encryption scheme based on the lifting scheme and cross-component permutation

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