scholarly journals Multi-process image encryption scheme based on compressed sensing and multi-dimensional chaotic system

2019 ◽  
Vol 68 (20) ◽  
pp. 200501
Author(s):  
Hang Shi ◽  
Li-Dan Wang
Entropy ◽  
2019 ◽  
Vol 21 (9) ◽  
pp. 819 ◽  
Author(s):  
Yaqin Xie ◽  
Jiayin Yu ◽  
Shiyu Guo ◽  
Qun Ding ◽  
Erfu Wang

In this paper, a new three-dimensional chaotic system is proposed for image encryption. The core of the encryption algorithm is the combination of chaotic system and compressed sensing, which can complete image encryption and compression at the same time. The Lyapunov exponent, bifurcation diagram and complexity of the new three-dimensional chaotic system are analyzed. The performance analysis shows that the chaotic system has two positive Lyapunov exponents and high complexity. In the encryption scheme, a new chaotic system is used as the measurement matrix for compressed sensing, and Arnold is used to scrambling the image further. The proposed method has better reconfiguration ability in the compressible range of the algorithm compared with other methods. The experimental results show that the proposed encryption scheme has good encryption effect and image compression capability.


Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 291
Author(s):  
Chunyang Sun ◽  
Erfu Wang ◽  
Bing Zhao

Digital images can be large in size and contain sensitive information that needs protection. Compression using compressed sensing performs well, but the measurement matrix directly affects the signal compression and reconstruction performance. The good cryptographic characteristics of chaotic systems mean that using one to construct the measurement matrix has obvious advantages. However, existing low-dimensional chaotic systems have low complexity and generate sequences with poor randomness. Hence, a new six-dimensional non-degenerate discrete hyperchaotic system with six positive Lyapunov exponents is proposed in this paper. Using this chaotic system to design the measurement matrix can improve the performance of image compression and reconstruction. Because image encryption using compressed sensing cannot resist known- and chosen-plaintext attacks, the chaotic system proposed in this paper is introduced into the compressed sensing encryption framework. A scrambling algorithm and two-way diffusion algorithm for the plaintext are used to encrypt the measured value matrix. The security of the encryption system is further improved by generating the SHA-256 value of the original image to calculate the initial conditions of the chaotic map. A simulation and performance analysis shows that the proposed image compression-encryption scheme has high compression and reconstruction performance and the ability to resist known- and chosen-plaintext attacks.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 46400-46416 ◽  
Author(s):  
Lidong Liu ◽  
Dan Wang ◽  
Yuhang Lei

2015 ◽  
Vol 39 ◽  
pp. 151-158 ◽  
Author(s):  
Rabei Bechikh ◽  
Houcemeddine Hermassi ◽  
Ahmed A. Abd El-Latif ◽  
Rhouma Rhouma ◽  
Safya Belghith

2014 ◽  
Vol 69 (1-2) ◽  
pp. 61-69 ◽  
Author(s):  
Xing-Yuan Wang ◽  
Xue-Mei Bao

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.


Optik ◽  
2016 ◽  
Vol 127 (15) ◽  
pp. 5812-5819 ◽  
Author(s):  
Hongjun Liu ◽  
Abdurahman Kadir ◽  
Yangling Li

2016 ◽  
Vol 67 (2) ◽  
pp. 78-86 ◽  
Author(s):  
Hongye Niu ◽  
Changjun Zhou ◽  
Bin Wang ◽  
Xuedong Zheng ◽  
Shihua Zhou

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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