Multiple-image encryption via lifting wavelet transform and XOR operation based on compressive ghost imaging scheme

Li, Xianye; Meng, Xiangfeng; Yang, Xiulun; Wang, Yurong; Yin, Yongkai; Peng, Xiang; He, Wenqi; Dong, Guoyan; Chen, Hongyi

doi:10.1016/j.optlaseng.2017.10.023

Cited by 85 publications

(35 citation statements)

References 38 publications

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“…However, References [7,8] adopt the classical substitution-permutation network, which are similar to the proposed algorithm. Although the algorithms in References [9][10][11][12][13][14][15] are MIE algorithms, these MIE algorithms are designed with the features of optical images, which are not suitable for encrypting digital images. Therefore, this paper compares the proposed algorithm with the algorithms in References [7,8,[16][17][18][19][20][21].…”

Section: Existing Similar Algorithmsmentioning

confidence: 99%

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Multiple-Image Encryption Algorithm Based on the 3D Permutation Model and Chaotic System

Zhang

Wang

2018

Symmetry

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Large numbers of images are produced in many fields every day. The content security of digital images becomes an important issue for scientists and engineers. Inspired by the magic cube game, a three-dimensional (3D) permutation model is established to permute images, which includes three permutation modes, i.e., internal-row mode, internal-column mode, and external mode. To protect the image content on the Internet, a novel multiple-image encryption symmetric algorithm (block cipher) with the 3D permutation model and the chaotic system is proposed. First, the chaotic sequences and chaotic images are generated by chaotic systems. Second, the sender permutes the plain images by the 3D permutation model. Lastly, the sender performs the exclusive OR operation on permuted images. The simulation and algorithm comparisons display that the proposed algorithm possesses desirable encryption images, high security, and efficiency.

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Section: Existing Similar Algorithmsmentioning

confidence: 99%

“…Zhang et al presented an MIE algorithm with compressive sensing [12]. Li et al designed an MIE algorithm with the lifting wavelet transform [13]. Deng et al presented an MIE algorithm with the Fourier transform [14].…”

Section: Introductionmentioning

confidence: 99%

Multiple-Image Encryption Algorithm Based on the 3D Permutation Model and Chaotic System

Zhang

Wang

2018

Symmetry

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“…Many solo image encryption schemes were proposed by researchers to address the multiple-image encryption algorithms. The most widely used image encryption algorithms encompass chaotic-based image encryption [5][6][7][8][9], image encryption in the transform domain [10][11][12][13], DNA-based image encryption [14,15], and evolutionary-based image encryption [16].…”

Section: Introductionmentioning

confidence: 99%

3C3R, an Image Encryption Algorithm Based on BBI, 2D-CA, and SM-DNA

Khan

Han

Mudassir

et al. 2019

Entropy

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Color image encryption has enticed a lot of attention in recent years. Many authors proposed a chaotic system-based encryption algorithms for that purpose. However, due to the shortcomings of the low dimensional chaotic systems, similar rule structure for RGB channels, and the small keyspace, many of those were cryptanalyzed by chosen-plaintext or other well-known attacks. A Security vulnerability exists because of the same method being applied over the RGB channels. This paper aims to introduce a new three-channel three rules (3C3R) image encryption algorithm along with two novel mathematical models for DNA rule generator and bit inversion. A different rule structure was applied in the different RGB-channels. In the R-channel, a novel Block-based Bit Inversion (BBI) is introduced, in the G-channel Von-Neumann (VN) and Rotated Von-Neumann (RVN)- based 2D-cellular structure is applied. In the B-channel, a novel bidirectional State Machine-based DNA rule generator (SM-DNA) is introduced. Simulations and results show that the proposed 3C3R encryption algorithm is robust against all well-known attacks particularly for the known-plaintext attacks, statistical attacks, brute-force attacks, differential attacks, and occlusion attacks, etc. Also, unlike earlier encryption algorithms, the 3C3R has no security vulnerability.

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“…A multiple-image encryption algorithm based on spectral cropping and spatial multiplexing was presented in [ 15 ]. The authors of [ 16 ] proposed a multiple-image encryption algorithm based on the lifting wavelet transform and the XOR operation based on compressive ghost imaging scheme. Even with this large number of proposed algorithms, some practical problems still exist.…”

Section: Introductionmentioning

confidence: 99%

Encryption Algorithm of Multiple-Image Using Mixed Image Elements and Two Dimensional Chaotic Economic Map

Karawia

2018

Entropy

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To enhance the encryption proficiency and encourage the protected transmission of multiple images, the current work introduces an encryption algorithm for multiple images using the combination of mixed image elements (MIES) and a two-dimensional economic map. Firstly, the original images are grouped into one big image that is split into many pure image elements (PIES); secondly, the logistic map is used to shuffle the PIES; thirdly, it is confused with the sequence produced by the two-dimensional economic map to get MIES; finally, the MIES are gathered into a big encrypted image that is split into many images of the same size as the original images. The proposed algorithm includes a huge number key size space, and this makes the algorithm secure against hackers. Even more, the encryption results obtained by the proposed algorithm outperform existing algorithms in the literature. A comparison between the proposed algorithm and similar algorithms is made. The analysis of the experimental results and the proposed algorithm shows that the proposed algorithm is efficient and secure.

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Multiple-image encryption via lifting wavelet transform and XOR operation based on compressive ghost imaging scheme

Cited by 85 publications

References 38 publications

Multiple-Image Encryption Algorithm Based on the 3D Permutation Model and Chaotic System

Multiple-Image Encryption Algorithm Based on the 3D Permutation Model and Chaotic System

3C3R, an Image Encryption Algorithm Based on BBI, 2D-CA, and SM-DNA

Encryption Algorithm of Multiple-Image Using Mixed Image Elements and Two Dimensional Chaotic Economic Map

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