An ILM-cosine transform-based improved approach to image encryption

Dua, Mohit; Suthar, Arun; Garg, Ayush; Garg, Vaibhav

doi:10.1007/s40747-020-00201-z

Cited by 24 publications

(6 citation statements)

References 28 publications

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“…The existing chaotic maps like logistic map, and Sine map have less chaotic behavior, narrow range, uneven distribution, and blank widows. The equations of the logistic map and Sine map are (1) [27] and (2) respectively.…”

Section: Chaotic Systemmentioning

confidence: 99%

A novel chaotic map-based encryption scheme for surveillance videos

Dhingra,

Dua

2023

Phys. Scr.

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The widespread use of surveillance cameras has initiated privacy concerns among individuals being captured by these devices. Due to the limited internal storage capacity, these cameras often transmit recorded videos over unreliable networks. This situation creates opportunities for attackers to exploit vulnerabilities, such as launching Man-in-the-Middle attacks, replayed scene attacks, and tampering with the video content. Considering these risks, this paper introduces a new chaotic map-based encryption scheme for surveillance videos. The work proposes a novel chaotic map using cascading and coupling operations on functions and is referred to as a Cascaded Coupled Logistic-Sine-Cosine (CCLSC) map. The chaotic performance of the novel CCLSC map has been evaluated using the Lyapunov exponent and the Bifurcation diagram. The scheme to encrypt surveillance videos is designed using the novel CCLSC map and our earlier designed Sine-Tangent-Sine (STS) chaotic map. The process involves extracting individual frames from the video and subsequently encrypts each frame as a digital image. The encryption of each frame involves three steps. The first step generates a Dynamic Chaotic Matrix (DCM) using CCLSC and STS map. The second phase is pixel scrambling using DCM and the final step changes the pixel values using DCM. Our results validate the security, robustness, and effectiveness of the proposed method.

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Section: Chaotic Systemmentioning

confidence: 99%

A novel chaotic map-based encryption scheme for surveillance videos

Dhingra,

Dua

2023

Phys. Scr.

Self Cite

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“…, (19) where XD(i) is the ith numerical element in the sequence XD, and i is an integer, i ∈ [1, M × N ].…”

Section: B(s D(i)) B A(x D(i)) V B B(s D(i)) ⊕ K (C D(i))mentioning

confidence: 99%

“…From Table 15, one may conclude that in contrast to the encryption schemes in Refs. [19,[23][24][25], which all process the three RGB components separately, our image encryption scheme implements a scrambling operation across the three RGB components, which effectively reduces the correlation of pixels among the components and the correlation between different components. And because our encryption scheme can be completely decrypted, the decrypted PSNR value can reach +∞.…”

Section: Comparative Analysismentioning

confidence: 99%

“…Rehman et al [18] gave a color image encryption algorithm based on DNA complementary rules, which first designed a permutation method based on DNA complementary rules, and then used random sequences and DC-boxes to diffuse the permuted matrix to generate high-quality ciphertext images. Dua et al [19] designed a scheme to encrypt images based on the cosine transformation of a 3-D intertwining Logistic map, used the generated chaotic sequences to displace, rotate, and replace the plain image to form a secure ciphertext image, and the experiments showed that the proposed encryption scheme is more efficient. Wang et al [20] introduced an image encryption algorithm based on matrix semi-tensor product and composite key, designed a new permutation method and composite key generation approach, making the generated encrypted images more secure and effective.…”

Section: Introductionmentioning

confidence: 99%

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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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“…The defogging image recovery is an ill-posed inverse problem. In this paper, with the help of the physical model of fog formation, the energy optimization model of global defogging and local defogging of outdoor images is established [3].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Color Matching Technology in Cultural Industry by Fractional Differential Equations

2023

Applied Mathematics and Nonlinear Sciences

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This article combines the fractional differential theory with the total variation method and applies it to defining cultural industry image color matching. At the same time, we propose a new image color matching denoising model based on fractional partial differential equations. The model achieves simultaneous denoising in the time direction and the spaceplane. Experiments have proved that the fractional partial differential equations method has more advantages than integer-order partial differential equations in denoising and reducing step effects. It can effectively improve the contrast and clarity of image color matching in the cultural industry.

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An ILM-cosine transform-based improved approach to image encryption

Cited by 24 publications

References 28 publications

A novel chaotic map-based encryption scheme for surveillance videos

A novel chaotic map-based encryption scheme for surveillance videos

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

Optimization of Color Matching Technology in Cultural Industry by Fractional Differential Equations

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