Color image DNA encryption using mRNA properties and non-adjacent coupled map lattices

Ghadirli, Hossein Movafegh; Nodehi, Ali; Enayatifar, Rasul

doi:10.1007/s11042-020-10014-4

Cited by 17 publications

(6 citation statements)

References 78 publications

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“…Tables 6 and 7 illustrate the comparison results of the LSHM-DIAEA with some other color and grayscale IEAs, respectively. As observed from table 6, the correlation coefficients of the LSHM-DIAEA are closer to zero compared with [44,45,50], and the LSHM-DIAEA has great advantages compared with [43]. Table 7 illustrates that the correlation coefficients of the LSHM-DIAEA are closer to zero compared with [47,51,52], and the LSHM-DIAEA has great advantages compared with [49].…”

Section: Correlation Analysis Of Adjacent Pixelsmentioning

confidence: 71%

“…The comparison results of the LSHM-DIAEA with some other color and grayscale IEAs are presented in tables 12 and 13, respectively. From table 12, it is clear that the NPCR and UACI values of Peppers for the LSHM-DIAEA are closer to the ideal value than [43], and the LSHM-DIAEA has great advantages compared with [44,45,50]. As seen from table 13, the NPCR and UACI values of Baboon for the LSHM-DIAEA are closer to the ideal value than [51,52], and the LSHM-DIAEA has some merits compared with [47,49].…”

Section: Algorithmsmentioning

confidence: 87%

“…The comparison results of the LSHM-DIAEA with some other color and grayscale IEAs are displayed in tables 9 and 10, respectively. Obviously, the LSHM-DIAEA has a larger information entropy value compared with [44,45,47,49,51,52], and the LSHM-DIAEA has some merits compared with [43,50]. Thus, the proposed LSHM-DIAEA can resist statistical attacks based on entropy.…”

Section: Information Entropymentioning

confidence: 99%

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A novel double image encryption algorithm based on coupled chaotic system

2022

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This paper constructs a two-dimensional Logistic-Sine-Henon map (2D-LSHM) for image encryption. By comparing with some existing chaotic systems, the 2D-LSHM has better chaotic performance and is more suitable for image encryption scenarios. Using the 2D-LSHM, we propose a double image adaptive encryption algorithm consisting of bit-level combinatorial permutation and four-directional adaptive diffusion called LSHM-DIAEA. Differently from traditional image encryption algorithms, the proposed LSHM-DIAEA can encrypt a color image and a grayscale image at the same time so that the information from each other can be fused and affected by each other, which makes the encryption process more secure and efficient. In addition, to enhance plaintext sensitivity, we introduce the secure hash algorithm-512 (SHA-512) and the Histogram of Oriented Gradient (HOG) feature extraction algorithm into the LSHM-DIAEA. Simulation and security analysis results illustrate that the LSHM-DIAEA provides a high security level to resist various cryptanalytic attacks and a high execution efficiency.

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Section: Correlation Analysis Of Adjacent Pixelsmentioning

confidence: 71%

Section: Algorithmsmentioning

confidence: 87%

Section: Information Entropymentioning

confidence: 99%

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A novel double image encryption algorithm based on coupled chaotic system

2022

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“…An image histogram is used to visually depict the distribution of pixel intensity within an image [20]. The histogram of the encrypted M3 image produced by our scheme is evenly distributed and completely different from that of the plain image, as shown in Figure 3.…”

Section: Histogram Analysismentioning

confidence: 99%

Lightweight Medical Image Encrypting and Decrypting Algorithm Based on the 3D Intertwining Logistic Map

BOUREKOUCHE,

BELKACEM,

MESSAOUDİ

2024

International Journal of Informatics and Applied Mathematics

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The quantity of medical image data accessible for analysis is increasing because of advancements in telehealth services. Therefore, effective cryptographic solutions must be developed to prevent data manipulation by unauthorized users in insecure networks. This paper focuses on developing a lightweight symmetric cryptosystem algorithm with decreasing memory and power consumption at high speed for standard and medical images based on the 3D intertwining logistic map-cosine (ILM-cosine), which is a powerful chaotic system in contemporary cryptography. The motivation of this paper is to reduce the memory space required for storing program data with minimizing execution time for lower implementation complexity in telehealth applications, where our proposed scheme consists of five main steps: ILM-cosine map key generation with histogram normalization, row rotation, column rotation, and exclusive-OR (XOR) logic operation. Various normal and medical images were used as samples for the simulation. The results showed that cipher images have good visual quality, high information entropy, large key space, and low computational complexity.

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“…CML was formally proposed by Kaneko in 1984 [1][2][3], where each node is coupled with its closest neighbors. Since then, many types of coupling were introduced [4][5][6][7][8][9][10][11][12][13]. A one-way coupling map lattice is used to derive a cryptosystem key generator in [4].…”

Section: Introductionmentioning

confidence: 99%

Hyper Coupled Map Lattices for Hiding Multiple Images

et al. 2023

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The concept of a hyper coupled map lattice (CML) is presented in this paper. The complexity of the lattice is increased not by adding another spatial dimension of the lattice but by replacing scalar nodal variables by multidimensional square matrices of iterative variables. The proposed scheme exploits the nonlinear effects of the spatiotemporal divergence induced by nilpotent nodal matrices to generate separate secret images at different discrete moments of time during the evolution of the CML. The time variable plays the primary role in the decoding stage of the scheme. The carrying capacity of the proposed scheme is n − 1 different dichotomous digital images, where n is the dimension of the nilpotent nodal matrices. Computational experiments are used to demonstrate the efficacy of the proposed scheme.

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Color image DNA encryption using mRNA properties and non-adjacent coupled map lattices

Cited by 17 publications

References 78 publications

A novel double image encryption algorithm based on coupled chaotic system

A novel double image encryption algorithm based on coupled chaotic system

Lightweight Medical Image Encrypting and Decrypting Algorithm Based on the 3D Intertwining Logistic Map

Hyper Coupled Map Lattices for Hiding Multiple Images

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