Cryptanalysis of a New Chaotic Image Encryption Technique Based on Multiple Discrete Dynamical Maps

Recently, a new chaotic image encryption technique was proposed based on multiple discrete dynamic maps. The authors claim that the scheme can provide excellent privacy for traditional digital images. However, in order to minimize the computational cost, the encryption scheme adopts one-round encryption and a traditional permutation–diffusion structure. Through cryptanalysis, there is no strong correlation between the key and the plain image, which leads to the collapse of cryptosystem. Based on this, two methods of chosen-plaintext attacks are proposed in this paper. The two methods require 3 pairs and 258 pairs of plain and cipher images, respectively, to break the original encryption system. The simulation results show the effectiveness of the two schemes.

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Cryptanalysis of a chaotic image encryption scheme based on permutation-diffusion structure

Signal Processing Image Communication ◽

10.1016/j.image.2018.01.002 ◽

2018 ◽

Vol 62 ◽

pp. 164-172 ◽

Cited By ~ 24

Author(s):

Ming Li ◽

Yuzhu Guo ◽

Jie Huang ◽

Yang Li

Keyword(s):

Image Encryption ◽

Encryption Scheme ◽

Diffusion Structure ◽

Chaotic Image Encryption

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Cryptanalysis and Improvement of Chaos-Based Image Encryption Scheme with Circular Inter-Intra-Pixels Bit-Level Permutation

Mathematical Problems in Engineering ◽

10.1155/2017/8124912 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 5

Author(s):

Haiju Fan ◽

Ming Li

Keyword(s):

Image Encryption ◽

Encryption Scheme ◽

Double Crossover ◽

Plain Image ◽

Original Scheme ◽

Simulation Results ◽

And Diffusion

A novel chaos-based image encryption scheme has been proposed recently. In this scheme, redundancies of the Fridrich’s structure were reduced significantly via a new circular inter-intra-pixels bit-level permutation strategy. However, we proved that the original encryption scheme is vulnerable to the known/chosen-plaintext attacks. Both the permutation and diffusion phases have been improved to enhance the security of the original scheme. By shifting each row of the plain image randomly, known-plaintext attacks could be resisted. Furthermore, by appending double crossover diffusion to the end of the original scheme, chosen-plaintext attacks lost their efficacies. Simulation results demonstrated that the improved encryption scheme outperforms the original one.

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An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing

Sensors ◽

10.3390/s21030758 ◽

2021 ◽

Vol 21 (3) ◽

pp. 758

Author(s):

Zhen Li ◽

Changgen Peng ◽

Weijie Tan ◽

Liangrong Li

Keyword(s):

Compressive Sensing ◽

Image Encryption ◽

Chaotic Map ◽

Coefficient Matrix ◽

Security And Privacy ◽

Encryption Scheme ◽

Two Dimensional ◽

Comparison Results ◽

Plain Image ◽

Chaotic Image Encryption

With the development of mobile communication network, especially 5G today and 6G in the future, the security and privacy of digital images are important in network applications. Meanwhile, high resolution images will take up a lot of bandwidth and storage space in the cloud applications. Facing the demands, an efficient and secure plaintext-related chaotic image encryption scheme is proposed based on compressive sensing for achieving the compression and encryption simultaneously. In the proposed scheme, the internal keys for controlling the whole process of compression and encryption is first generated by plain image and initial key. Subsequently, discrete wavelets transform is used in order to convert the plain image to the coefficient matrix. After that, the permutation processing, which is controlled by the two-dimensional Sine improved Logistic iterative chaotic map (2D-SLIM), was done on the coefficient matrix in order to make the matrix energy dispersive. Furthermore, a plaintext related compressive sensing has been done utilizing a measurement matrix generated by 2D-SLIM. In order to make the cipher image lower correlation and distribute uniform, measurement results quantified the 0∼255 and the permutation and diffusion operation is done under the controlling by two-dimensional Logistic-Sine-coupling map (2D-LSCM). Finally, some common compression and security performance analysis methods are used to test our scheme. The test and comparison results shown in our proposed scheme have both excellent security and compression performance when compared with other recent works, thus ensuring the digital image application in the network.

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A chaotic image encryption scheme with complex diffusion matrix for plain image sensitivity

Serbian Journal of Electrical Engineering ◽

10.2298/sjee1902247t ◽

2019 ◽

Vol 16 (2) ◽

pp. 247-265 ◽

Cited By ~ 2

Author(s):

Janani Thiyagarajan ◽

Brindha Murugan ◽

Ammasai Gounder

Keyword(s):

Image Encryption ◽

Encryption Scheme ◽

Diffusion Matrix ◽

Complex Diffusion ◽

Plain Image ◽

Chaotic Image Encryption

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Adaptive Chaotic Image Encryption Algorithm Based on RNA and Pixel Depth

Electronics ◽

10.3390/electronics10151770 ◽

2021 ◽

Vol 10 (15) ◽

pp. 1770

Author(s):

Xiaoqiang Zhang ◽

Xuangang Yan

Keyword(s):

Image Encryption ◽

Three Dimensional ◽

Encryption Algorithm ◽

Current Time ◽

Plain Image ◽

Scope Of Application ◽

Selective Diffusion ◽

Chaotic Image Encryption ◽

And Diffusion ◽

Image Encryption Algorithm

To prevent the leakage of image content, image encryption technology has received increasing attention. Most current algorithms are only suitable for the images of certain types and cannot update keys in a timely manner. To tackle such problems, we propose an adaptive chaotic image encryption algorithm based on RNA and pixel depth. Firstly, a novel chaotic system, two-dimensional improved Logistic-adjusted-Sine map is designed. Then, we propose a three-dimensional adaptive Arnold transform for scrambling. Secondly, keys are generated by the hash values of the plain image and current time to achieve one-image, one-key, and one-time pad simultaneously. Thirdly, we build a pre-permuted RNA cube for 3D adaptive scrambling by pixel depth, chaotic sequences, and adaptive RNA coding. Finally, selective diffusion combined with pixel depth and RNA operations is performed, in which the RNA operators are determined by the chemical structure and properties of amino acids. Pixel depth is integrated into the whole procedure of parameter generation, scrambling, and diffusion. Experiments and algorithm analyses show that our algorithm has strong security, desirable performance, and a broader scope of application.

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