A new image encryption scheme based on coupling map lattices with mixed multi-chaos

Wang, Xingyuan; Guan, Nana; Zhao, Haitao; Wang, Siwei; Zhang, Ying-Qian

doi:10.1038/s41598-020-66486-9

Cited by 69 publications

(53 citation statements)

References 32 publications

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“…The key sensitivity of the algorithm is very strong, any key small changes, other keys remain unchanged, under the correct encryption algorithm, cannot decrypt the correct plaintext image 49 . The simulation experiment results are shown in Fig.…”

Section: Simulation Results and Performance Analysismentioning

confidence: 99%

Color image encryption based on chaotic compressed sensing and two-dimensional fractional Fourier transform

Wang

2020

Sci Rep

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Combining the advantages of structured random measurement matrix and chaotic structure, this paper introduces a color image encryption algorithm based on a structural chaotic measurement matrix and random phase mask. The Chebyshev chaotic sequence is used in the algorithm to generate the flip permutation matrix, the sampling subset and the chaotic cyclic matrix for constructing the structure perceptual matrix and the random phase mask. The original image is compressed and encrypted simultaneously by compressed sensing, and re-encrypted by two-dimensional fractional Fourier transform. Simulation experiments show the effectiveness and reliability of the algorithm.

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Section: Simulation Results and Performance Analysismentioning

confidence: 99%

Color image encryption based on chaotic compressed sensing and two-dimensional fractional Fourier transform

Wang

2020

Sci Rep

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“…Information entropy is another criterion for evaluating the performance of a cryptographic method [55,56,57]. For 8-bit gray images, the information entropy value is in the range of 0 and 8, and the optimal value for this parameter is 8.…”

Section: Information Entropymentioning

confidence: 99%

“…One of the most important parameters for evaluating the performance of a cryptographic method is the secret key space and the sensitivity of the keys to minor changes [58,59,60]. The larger secret key space and the higher sensitivity, results more resistance of the cryptographic method to kinds of attacks.…”

Section: Security Key Space and Key Sensitivitymentioning

confidence: 99%

A novel multi-image cryptosystem based on weighted plain images and using combined chaotic maps

et al. 2021

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This paper introduces a new multi-image cryptosystem based on modified Henon map and nonlinear combination of chaotic seed maps. Based on the degree of correlation between the adjacent pixels of the plain image, a unique weight is assigned to the plain image. First, the coordinates of plain images are disrupted by modified Henon map as confusion phase. In the first step of diffusion phase, the pixels content of images are changed separately by XOR operation between confused images and matrices with suitable nonlinear combination of seed maps sequences. These combination of seed maps are selected depending on the weight of plain images as well as bifurcation properties of mentioned chaotic maps. After concatenating the matrices obtained from the first step of diffusion phase, the bitwise XOR operation is applied between newly developed matrix and the other produced matrix from the chaotic sequences of the Logistic-Tent-Sine hybrid system, as second step of diffusion phase. The encrypted image is obtained after applying shift and exchange operations. The results of the implementation using graphs and histograms show that the proposed scheme, compared to some existing methods, can effectively resist common attacks and can be used as a secure method for encrypting digital images.

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“…In 1998, Fridrich 35 used discrete chaotic mapping to scramble the image pixels, and proposed an image encryption system based on chaos. During the last three decades, there have been significant interests in the image encryption algorithm based on chaos system 1 – 15 , 18 – 23 , 25 , 28 , 34 – 43 , 51 , 52 . Zhang et al 52 analyzed the dynamic characteristics of the fractional-order chaotic system in detail and designed an efficient image encryption algorithm.…”

Section: Introductionmentioning

confidence: 99%

A new image encryption algorithm based on the OF-LSTMS and chaotic sequences

Zhang

et al. 2021

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In this paper, a novel image encryption algorithm based on the Once Forward Long Short Term Memory Structure (OF-LSTMS) and the Two-Dimensional Coupled Map Lattice (2DCML) fractional-order chaotic system is proposed. The original image is divided into several image blocks, each of which is input into the OF-LSTMS as a pixel sub-sequence. According to the chaotic sequences generated by the 2DCML fractional-order chaotic system, the parameters of the input gate, output gate and memory unit of the OF-LSTMS are initialized, and the pixel positions are changed at the same time of changing the pixel values, achieving the synchronization of permutation and diffusion operations, which greatly improves the efficiency of image encryption and reduces the time consumption. In addition the 2DCML fractional-order chaotic system has better chaotic ergodicity and the values of chaotic sequences are larger than the traditional chaotic system. Therefore, it is very suitable to image encryption. Many simulation results show that the proposed scheme has higher security and efficiency comparing with previous schemes.

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A new image encryption scheme based on coupling map lattices with mixed multi-chaos

Cited by 69 publications

References 32 publications

Color image encryption based on chaotic compressed sensing and two-dimensional fractional Fourier transform

Color image encryption based on chaotic compressed sensing and two-dimensional fractional Fourier transform

A novel multi-image cryptosystem based on weighted plain images and using combined chaotic maps

A new image encryption algorithm based on the OF-LSTMS and chaotic sequences

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