A novel hyper-chaotic image encryption scheme based on quantum genetic algorithm and compressive sensing

2020 ◽  
Vol 79 (39-40) ◽  
pp. 29243-29263 ◽  
Author(s):  
Guangfeng Cheng ◽  
Chunhua Wang ◽  
Cong Xu
Keyword(s):  
Genetic Algorithm ◽  
Compressive Sensing ◽  
Image Encryption ◽  
Encryption Scheme ◽  
Quantum Genetic Algorithm ◽  
Chaotic Image Encryption

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 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.

Subdata image encryption scheme based on compressive sensing and vector quantization

2020 ◽  
Vol 32 (16) ◽  
pp. 12771-12787
Author(s):  
Haiju Fan ◽  
Kanglei Zhou ◽  
En Zhang ◽  
Wenying Wen ◽  
Ming Li
Keyword(s):  
Compressive Sensing ◽  
Image Encryption ◽  
Vector Quantization ◽  
Encryption Scheme

A novel chaotic image encryption scheme using DNA sequence operations

2015 ◽  
Vol 73 ◽  
pp. 53-61 ◽  
Author(s):  
Xing-Yuan Wang ◽  
Ying-Qian Zhang ◽  
Xue-Mei Bao
Keyword(s):  
Dna Sequence ◽  
Image Encryption ◽  
Encryption Scheme ◽  
Chaotic Image Encryption
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