A visually secure asymmetric image encryption scheme based on RSA algorithm and hyperchaotic map

Xu, Qiaoyun; Sun, Kehui; Zhu, Congxu

doi:10.1088/1402-4896/ab52bc

Cited by 30 publications

(16 citation statements)

References 45 publications

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“…Finally, the cipher image can be obtained after Arnold transform dislocating the processed image. In [48], the scheme combined the advantages of hyperchaotic map and RSA algorithm. Firstly, encrypt the plain image into a cipher image by utilizing the row and column encryption algorithms.…”

Section: Related Workmentioning

confidence: 99%

An Image Encryption Scheme Based on Lorenz Hyperchaotic System and RSA Algorithm

Lin

2021

Security and Communication Networks

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This research proposes a new image encryption scheme based on Lorenz hyperchaotic system and Rivest–Shamir–Adleman (RSA) algorithm. Firstly, the initial values of the Lorenz hyperchaotic system are generated by RSA algorithm, and the key stream is produced iteratively. In order to change the position and gray value of the pixel, the image data are hidden by additive mode diffusion. Secondly, the diffusion image matrix is reshaped into a one-dimensional image matrix, which is confused without repetition to hide the image data again. Then, the finite field diffusion algorithm is executed to realize the third hiding of the image information. In order to diffuse the pixel information into the entire cipher image, the additive mode diffusion algorithm needs to be looped twice. Finally, the cipher image can be obtained. The experimental results prove that the image encryption scheme proposed in this research is effective and has strong antiattack and key sensitivity. Moreover, the security of this encryption scheme relies on the RSA algorithm, which has high security.

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Section: Related Workmentioning

confidence: 99%

An Image Encryption Scheme Based on Lorenz Hyperchaotic System and RSA Algorithm

Lin

2021

Security and Communication Networks

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“…Similarly, Wen et al [36] proposed an improved scheme that uses semi-tensor product compressive sensing to compress the plain image, and then embeds the compressed image after Arnold scrambling into a carrier image through embedding technology, which can not only simultaneously reduce the storage space of the cipher image and the secret keys, but also the quality of the reconstructed image is improved. So far, many excellent visually meaningful image encryption algorithms have been proposed [37][38][39][40][41][42][43][44][45], but most of them have a common deficiency. That is to say, the identical noise-like cipher image is embedded into different carrier images, and the visual quality of the resulting steganographic images is uneven.…”

Section: Introductionmentioning

confidence: 99%

Image encryption algorithm for crowd data based on a new hyperchaotic system and Bernstein polynomial

Jiang

Liu

Wang

et al. 2021

IET Image Processing

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A new two-dimensional chaotic system in the form of a cascade structure is designed, which is derived from the Chebyshev system and the infinite collapse system. Performance analysis including trajectory, Lyapunov exponent and approximate entropy indicate that it has a larger chaotic range, better ergodicity and more complex chaotic behaviour than those of advanced two-dimensional chaotic system recently proposed. Moreover, to protect the security of the crowd image data, the newly designed two-dimensional chaotic system is utilized to propose a visually meaningful image cryptosystem combined with singular value decomposition and Bernstein polynomial. First, the plain image is compressed by singular value decomposition, and then encrypted to the noise-like cipher image by scrambling and diffusion algorithm. Later, the steganographic image is obtained by randomly embedding the cipher image into a carrier image in spatial domain through the Bernstein polynomialbased embedding method, thereby realizing the double security of image information and image appearance. Besides, the visual quality of the steganographic image can be improved by the adjustment factor according to different carrier images during the embedding process. Ultimately, security analyses indicate that it has higher encryption efficiency (2 Mbps) and the visual quality of steganography image can reach 39 dB. INTRODUCTIONWith the rapid development and large-scale application of communication technologies, more and more digital images are generated and transmitted on public channels. For example, image sensors collect crowd information in real time for understanding and analysis. Because of their sharing and openness, digital images are easy to be acquired illegally or attacked maliciously. How to ensure the security of digital image information has become a hot research topic. Chaotic systems are characterized by pseudo-randomness, long-term unpredictability and high sensitivity to the initial states. Therefore, they are widely used in the design of secure communication systems. Since 1998, Fridrich [1] applied the chaotic system to the digital image encryption for the first time, creating a new era of image encryption, the chaotic image encryption algorithms have been developed qualitatively, especially the proposal of new chaotic systems and new encryption architectures [23][24][25][26][27].This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…e chaotic system has many unique features similar to the counterpart of the cryptosystem, such as bulky data capacity and high redundancy [4], which are difficult to handle by using text encryption techniques. In the last two decades, many new image encryption schemes were proposed, and researchers proposed many image encryption schemes by applying various technologies, such as compressive sensing [5][6][7], DNA coding [8][9][10][11][12][13], quantum theory [14][15][16][17], chaos systems [18][19][20][21][22][23][24][25][26][27][28], S-box [29], and networks [30,31].…”

Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Algorithm Based on the Delayed Maps and Permutation-Confusion-Diffusion Architecture

Sun

Zhu

2021

Security and Communication Networks

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To improve the dynamical behaviors of 1D chaotic maps, a new linear-delay-modulation method (LDM) is proposed. Derived from the Sine map, a delayed Sine map (DSM) is proposed based on the LDM. Then, we substitute the Sine map in the SIMM system with DSM and obtained a delayed SIMM system (DSIMM). Its chaotic performance is analyzed through the phase diagram, Lyapunov exponent spectrum, and complexity. The results show that the delayed chaotic map can generate more complex dynamical behaviors and more random sequences. Hence, we apply the two delayed systems to a novel image encryption algorithm with the permutation-confusion-diffusion architecture. Firstly, to permutate the pixel of the image efficiently, the plain-image is scrambled by using a multilayer of the nonlinear index. Secondly, the image is confused by using the chaotic matrix generated with two chaotic sequences, and then, the ciphertext is transformed into a 1D sequence. Finally, to improve the plaintext sensitivity and facilitate key management, we enhance the sensitivity by applying a novel diffusion algorithm instead of using plaintext-related keystream. The diffusion equation contains the sum of undiffused pixels and the operation of cyclic bit-shift. Simulation results for the gray image illustrate the effectiveness of the proposed encryption algorithm.

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A visually secure asymmetric image encryption scheme based on RSA algorithm and hyperchaotic map

Cited by 30 publications

References 45 publications

An Image Encryption Scheme Based on Lorenz Hyperchaotic System and RSA Algorithm

An Image Encryption Scheme Based on Lorenz Hyperchaotic System and RSA Algorithm

Image encryption algorithm for crowd data based on a new hyperchaotic system and Bernstein polynomial

A Novel Image Encryption Algorithm Based on the Delayed Maps and Permutation-Confusion-Diffusion Architecture

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