An efficient color/grayscale image encryption scheme based on hybrid chaotic maps

Classical one-dimensional chaotic map has many ideal characteristics which is quite suitable for many different kinds of scientific fields, especially cryptography. In this paper, we propose an idea of constructing high-dimensional (HD) cyclic symmetric chaotic maps by using one-dimensional (1D) chaotic map. Two constructed 3D cyclic symmetric chaotic maps are taken as the examples, named three-dimensional cyclic symmetric logistic map (3D-CSLM) and three-dimensional cyclic symmetric Chebyshev map (3D-CSCM), respectively. Numerical experiments show that the new maps possesses better dynamical performances, and their parameters have a wider range, compared with the original map. Furthermore, to verify its effect in image encryption, a novel image encryption algorithm based on 3D-CSLM and DNA coding is proposed. DNA method for image encryption can improve the efficiency of permutation and diffusion. Firstly, the algorithm uses 3D-CSLM to generate chaotic sequences for DNA operation rule selection and pixel permutation. Then through the DNA XOR operation to achieve diffusion, and finally form an encrypted image. Several simulation tests results indicate that the proposal has a promising security performance and strong anti-attack ability.

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“…Therefore, most researchers prefer to using high dimensional chaotic maps to encrypt the images [ 3 , 20 , 24 , 26 , 30 , 40 , 47 ]. In Ref.…”

Section: Introductionmentioning

confidence: 99%

“…Ref. [ 24 ] proposed an effective chaotic color/grayscale image encryption algorithm. The algorithm uses a hybrid 2D composite chaotic map combined with a sine-cosine cross-chaotic map for the permutation.…”

Section: Introductionmentioning

confidence: 99%

Construction of high-dimensional cyclic symmetric chaotic map with one-dimensional chaotic map and its security application

Zhang

Xiang

Zhang

et al. 2022

Multimed Tools Appl

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“…The commonly used chaotic systems include the logistic map chaotic system, Henon map chaotic system, cellular neural network chaotic system, and Lorentz chaotic system. For example, Noura Khalil et al [ 6 ] proposed an image encryption algorithm based on a chaotic system. This method first uses a chaotic map to scramble the image, then uses the logistic-tent chaotic map to generate a chaotic sequence, and then performs a bitwise XOR operation on the generated chaotic sequence and the scrambled image to obtain a ciphertext image.…”

Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Algorithm Based on Improved Arnold Transform and Chaotic Pulse-Coupled Neural Network

Deng

Zhang

et al. 2022

Entropy

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Information security has become a focal topic in the information and digital age. How to realize secure transmission and the secure storage of image data is a major research focus of information security. Aiming at this hot topic, in order to improve the security of image data transmission, this paper proposes an image encryption algorithm based on improved Arnold transform and a chaotic pulse-coupled neural network. Firstly, the oscillatory reset voltage is introduced into the uncoupled impulse neural network, which makes the uncoupled impulse neural network exhibit chaotic characteristics. The chaotic sequence is generated by multiple iterations of the chaotic pulse-coupled neural network, and then the image is pre-encrypted by XOR operation with the generated chaotic sequence. Secondly, using the improved Arnold transform, the pre-encrypted image is scrambled to further improve the scrambling degree and encryption effect of the pre-encrypted image so as to obtain the final ciphertext image. Finally, the security analysis and experimental simulation of the encrypted image are carried out. The results of quantitative evaluation show that the proposed algorithm has a better encryption effect than the partial encryption algorithm. The algorithm is highly sensitive to keys and plaintexts, has a large key space, and can effectively resist differential attacks and attacks such as noise and clipping.

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“…However, when the target to be measured changes, it is necessary to add or delete training samples and retrain the network, which has a high maintenance cost in the later period. Mishra M et al proposed a power grid fault diagnosis method based on machine learning [4][5][6]. The traditional artificial neural network needs a huge amount of data when processing data, and it has extremely high requirements for the hardware facilities of the server, while machine learning needs to extract the features of objects through coding, which requires a small amount of data, hardware requirements are relatively low.…”

Section: Introductionmentioning

confidence: 99%

A fault diagnosis method for power grid based on image feature extraction

Wan

Song

et al. 2022

J. Phys.: Conf. Ser.

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In order to solve the problem that the traditional power grid fault diagnosis along the railway requires a lot of manpower and material resources, this paper proposes a fault diagnosis method on the power grid along the railway based on image feature extraction. A variable function family series method is designed to extract features of faults. For the fault image denoising, a convolution filter method is used, and the number of 2 denoising layers is selected. At the same time, extracting the decomposition coefficient features and energy features of power grid image faults. Moreover, the matching diagnosis method is given. The fault is finally identified based on the similarity. To compare with the existing fault diagnosis methods, the correct diagnosis rate of the fault diagnosis method proposed is more than 92%. From experimental comparison results, this diagnosis effect not only has higher precision, stronger anti-interference ability, but also has faster diagnosis speed.

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An efficient color/grayscale image encryption scheme based on hybrid chaotic maps

Cited by 131 publications

References 66 publications

Construction of high-dimensional cyclic symmetric chaotic map with one-dimensional chaotic map and its security application

Construction of high-dimensional cyclic symmetric chaotic map with one-dimensional chaotic map and its security application

A Novel Image Encryption Algorithm Based on Improved Arnold Transform and Chaotic Pulse-Coupled Neural Network

A fault diagnosis method for power grid based on image feature extraction

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