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

2019 ◽  
Vol 16 (2) ◽  
pp. 247-265 ◽  
Author(s):  
Janani Thiyagarajan ◽  
Brindha Murugan ◽  
Ammasai Gounder
Keyword(s):  
Image Encryption ◽  
Encryption Scheme ◽  
Diffusion Matrix ◽  
Complex Diffusion ◽  
Plain Image ◽  
Chaotic Image Encryption

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

Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1581
Author(s):  
Haiju Fan ◽  
Chenjiu Zhang ◽  
Heng Lu ◽  
Ming Li ◽  
Yanfang Liu
Keyword(s):  
Image Encryption ◽  
Strong Correlation ◽  
Digital Images ◽  
Computational Cost ◽  
Encryption Scheme ◽  
Discrete Dynamic ◽  
Diffusion Structure ◽  
Plain Image ◽  
Simulation Results ◽  
Chaotic Image Encryption

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.

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

Sensors ◽  
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.

scholarly journals Adaptive Chaotic Image Encryption Algorithm Based on RNA and Pixel Depth

Electronics ◽  
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.

A Wheel-Switch Selective Image Encryption Scheme Using Spatiotemporal Chaotic System

2014 ◽  
Vol 69 (1-2) ◽  
pp. 61-69 ◽  
Author(s):  
Xing-Yuan Wang ◽  
Xue-Mei Bao
Keyword(s):  
Theoretical Analysis ◽  
Image Encryption ◽  
Chaotic System ◽  
Initial Conditions ◽  
Image Data ◽  
Encryption Scheme ◽  
Cyclic Shift ◽  
Coupling Constant ◽  
Plain Image ◽  
Spatiotemporal Chaotic System

In this paper, we propose a novel selective image encryption scheme using a one-way coupled map lattice (CML) consisting of logistic maps and a selector constructed by two variants of a cyclic shift register (VCSR). The initial conditions and the coupling constant of CML in our scheme are influenced by all the contents of the plain image. Moreover, the selector is closely related to the nonencrypted part of the plain image. In addition, we select only a portion of image data to encrypt via a wheel-switch scheme governed by the selector. Users can select an appropriate proportion to encrypt the plain image for their different demands of security and efficiency. Experimental results and theoretical analysis show that the cryptosystem is effective and can resist various typical attacks.

scholarly journals Splicing Model and Hyper–Chaotic System for Image Encryption

2016 ◽  
Vol 67 (2) ◽  
pp. 78-86 ◽  
Author(s):  
Hongye Niu ◽  
Changjun Zhou ◽  
Bin Wang ◽  
Xuedong Zheng ◽  
Shihua Zhou
Keyword(s):  
Image Encryption ◽  
Chaotic System ◽  
Dna Computing ◽  
Formal Model ◽  
Security Analysis ◽  
The Internet ◽  
Encryption Scheme ◽  
Image Information ◽  
Plain Image ◽  
Differential Attacks

Abstract Encryption is an effective way to protect the image information from attacking by intruders in the transmission applications through the Internet. This study presents an image encryption scheme on the basics of the formal model of DNA computing-splicing system and hyper-chaotic system, which utilizes the instinct properties of hyper-chaotic system and splicing model while programming the method. In our proposed algorithm, the quaternary coding is used to split the plain image into four sub-sections so that we can’t get the cipher image without any one sub-section. This new method can be used to change the plain image information drastically. The experimental results and security analysis show that our method not only has a good security but also increases the resistance to common attacks such as exhaustive attacks, statistical attacks and differential attacks.

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