Visually Meaningful Multi-image Encryption Scheme

Singh, Laiphrakpam Dolendro; Singh, Khumanthem Manglem

doi:10.1007/s13369-018-3104-7

Cited by 40 publications

(11 citation statements)

References 30 publications

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“…After all, the control parameters of the system are too few, and the key space is relatively small [14]. To solve these problems, some HD chaotic systems with complex dynamic characteristics have appeared, such as the Lorentz system [15], Chen system [16] and Bao system [17]. These HD chaotic systems can effectively suppress common attacks.…”

Section: Introductionmentioning

confidence: 99%

Multiple-image encryption algorithm based on genetic central dogma

Zhang

Tian

2022

Phys. Scr.

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A large number of images are generated and distributed in various fields every day. To protect the image information from being stolen during the network transmission, this paper proposes a multiple-image encryption algorithm based on genetic central dogma and three-dimensional (3D) bit planes. This paper simulates the genetic central dogma and defines the 3D bit planes. Firstly, k original images are transformed into 8-bit binary and converted into a 3D matrix; secondly, the 3D matrix is permutated by rotating the bit plane and performing permutation among the bit planes; thirdly, we encode the scrambled 3D matrix into DNA codes. The diffusion is realized by imitating the genetic central dogma and introducing RNA mutations; finally, the encrypted images are obtained by the RNA decoding operation. Experimental results and algorithm analyses indicate that the proposed algorithm has strong security and desirable performance.

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Section: Introductionmentioning

confidence: 99%

Multiple-image encryption algorithm based on genetic central dogma

Zhang

Tian

2022

Phys. Scr.

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“…A method similar to this has been studied in [25]. In another method, studied in [26], the location of the image pixels is changed by using the Arnold's cat transform and then the image is hidden. One advantage of this method is that if a portion of the image is lost, the adjacent areas in the recycled image are not simultaneously destroyed.…”

Section: Introductionmentioning

confidence: 99%

Secure Multiple-Image Transfer by Hybrid Chaos System: Encryption and Visually Meaningful Images

Zareimani,

Parvaz

2024

Mathematics

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The secure transmission of information is one of the most important topics in the field of information technology. Considering that images contain important visual information, it is crucial to create a safe platform for image transfer. One commonly employed tool to enhance the complexity and randomness in image encryption methods is the chaos system. The logistic and sine maps are utilized in encryption algorithms but these systems have some weaknesses, notably chaotic behavior in a confined area. In this study, to address these weaknesses, a hybrid system based on the Atangana–Baleanu fractional derivative is proposed. The various tests employed to evaluate the behavior of the new system, including the NIST test, histogram analysis, Lyapunov exponent calculation, and bifurcation diagram, demonstrate the efficiency of the proposed system. Furthermore, in comparison to the logistic and sine maps, the proposed hybrid exhibits chaotic behavior over a broader range. This system is utilized to establish a secure environment for the transmission of multiple images within an encryption algorithm, subsequently concealing them within a meaningful image. Various tools employed to assess the security of the proposed algorithm, including histogram analysis, NPCR, UACI, and correlation values, indicate that the proposed hybrid system has application value in encryption.

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“…Based on it, many visually meaningful image encryption algorithms have been proposed. [29][30][31][32][33][34][35][36][37] For example, in Reference 29, a CS based visually meaningful image encryption algorithm was proposed. DWT is first taken on the plain image to get its wavelet coefficients.…”

Section: Introductionmentioning

confidence: 99%

“…Compared with traditional image encryption algorithm, this encryption framework can hide effectively the existence of the secret plain image, making it impossible for attackers to distinguish them from natural images. Based on it, many visually meaningful image encryption algorithms have been proposed 29‐37 . For example, in Reference 29, a CS based visually meaningful image encryption algorithm was proposed.…”

Section: Introductionmentioning

confidence: 99%

“…By selecting multiple random numbers, different measurement matrices are generated to compress and encrypt the same image in a different order. In Reference 37, four color images comprise a three‐dimensional image that is then encrypted and divided into four images to extract the RGB channels to replace the unimportant positions within the channels of the scrambled carrier image. The scheme has least distortion to the visual perspective of the carrier image.…”

Section: Introductionmentioning

confidence: 99%

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A novel multi‐image visually meaningful encryption algorithm based on compressive sensing and Schur decomposition

Pan

Dong

et al. 2020

Trans Emerging Tel Tech

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Image encryption algorithm is an important telecommunication technology for protecting personal security. In this article, we propose a novel multi‐image visual encryption algorithm based on compressive sensing (CS) and Schur decomposition. First, multiple images are sparsed by a discrete wavelet transform, and the compressed images are obtained by zigzag confusion and CS. Second, these compressed images are combined according to random sequences and scrambled again to obtain the secret image. Third, the carrier image is subjected to a two‐level lifting wavelet transform where the low‐frequency and high‐frequency subbands are selected to perform a discrete cosine transform (DCT). Fourth, Schur decomposition is employed on the secret image to calculate an upper triangular matrix and a unitary matrix (orthogonal matrix) to be embedded into the DCT coefficients of the previous low‐frequency and high‐frequency subbands, respectively. With an inverse transformation, the final visually meaningful encrypted image is achieved. Here, the initial position of the zigzag confusion is related to the plain image, which can effectively resist known‐plaintext and chosen‐plaintext attacks. The simulation results demonstrate that the proposed algorithm has high security and good imperceptibility.

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Visually Meaningful Multi-image Encryption Scheme

Cited by 40 publications

References 30 publications

Multiple-image encryption algorithm based on genetic central dogma

Multiple-image encryption algorithm based on genetic central dogma

Secure Multiple-Image Transfer by Hybrid Chaos System: Encryption and Visually Meaningful Images

A novel multi‐image visually meaningful encryption algorithm based on compressive sensing and Schur decomposition

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