A novel hyper-chaotic image encryption scheme based on quantum genetic algorithm and compressive sensing
- PDF / 3,508,103 Bytes
- 21 Pages / 439.37 x 666.142 pts Page_size
- 13 Downloads / 237 Views
A novel hyper-chaotic image encryption scheme based on quantum genetic algorithm and compressive sensing Guangfeng Cheng 1 & Chunhua Wang 1
& Cong Xu
Received: 27 April 2020 / Revised: 27 July 2020 / Accepted: 4 August 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
Over the last few years, lots of chaotic image encryption schemes have been proposed. However, most of the schemes are permutation-diffusion architectures which still have some shortcomings, such as weak key streams, small key spaces, small information entropy, and so on. To eliminate the above weaknesses, in this paper, we propose a hyper-chaotic image encryption scheme based on quantum genetic algorithm (QGA) and compressive sensing (CS), which is a new image encryption scheme and has not been proposed so far. Firstly, QGA can update the population with the quantum rotation gate, which can enhance the randomness of the population and avoid falling into local optimum. Then compressive sensing technology is used to reduce data storage and speed up the encryption and decryption process. Moreover, we utilize the SHA-512 hash function of the plain image to calculate the initial values of the hyper-chaotic system, which is capable of enhancing the relationships between encryption schemes and plain images. The simulation experiments and security analysis reveal that the proposed scheme is more efficient in resisting statistical attack and plaintext attack and shows better performance in peak signal-to-noise ratio (PSNR) and information entropy compared with other image encryption schemes based on chaos theory. Keywords Hyper-chaotic system . Image encryption . Quantum genetic algorithm (QGA) . Compressive sensing (CS)
1 Introduction With the rapid development of network science and digital communication technology, the work and life of people are becoming more and more convenient. As a result, digital media for
* Chunhua Wang [email protected]
1
College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, People’s Republic of China
Multimedia Tools and Applications
information transmission, such as images, videos and so on, are widely adopted in computer networks in various civil and military fields. However, when people conveniently use digital image processing technology for data transmission, the problem of image information security has also appeared, which attracts the cautious attention of many researchers, therefore they study the image encryption technology carefully [2–8, 12–16, 18–20, 22, 23, 25, 27–35, 37, 39–41]. The existing results reveal the encryption schemes based on chaos theory have better performance than traditional encryption algorithms on image processing [1, 24], because chaotic systems or maps can show better ability on randomness and ergodicity for data with high sensitivity to control parameters and initial conditions [17, 36, 38]. Nowadays chaotic image encryption has become an attractive research area. As the image encryption schemes based on chaotic
Data Loading...
