A robust image encryption algorithm based on Chua's circuit and compressive sensing

To guarantee the security and high-efficiency of image transmission, a novel triple-image encryption scheme based on chaotic system, S-box and image compressing is proposed in this paper. Firstly, the combination process is performed by compressing three plain images to 25% and combining the compressed images with a stochastic matrix generated by the 2D-LSCM system to construct a new image. This process makes the proposed image encryption scheme have higher image transmission efficiency comparing to that of the stateof-the-art methods. Then, Z-scan and the proposed coded lock scrambling algorithm with low time complexity is used to randomly scramble the positions of pixels in the new construct image. Next, a cipher image is obtained by performing the diffusion operation on the scrambled image through S-box and chaotic sequences. In addition, the added stochastic matrix in the combination process makes the cipher image dynamic. In other words, the generated cipher images are always different to each other even when they are generated by the proposed encrypt scheme with identical plain images under the same secret keys, which can resist chosen-plaintext attacks. Finally, experimental results and simulation analysis are performed, which shows the proposed scheme can effectively resist common kinds of attacks.

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“…(2) It has high efficiency, which can encrypt three images at a time. And its efficiency is higher than that of in [33,36].…”

Section: Introductionmentioning

confidence: 81%

“…The common method for image compression in image encryption is the compressive sensing (CS) technology [30][31][32][33][34][35][36][37][38][39][40][41][42]. It can simultaneously sample and compress signals to reduce the transmission burden and storage space.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Triple-Image Encryption Scheme Based on Chaos, S-Box and Image Compressing

et al. 2020

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“…After that quantization is applied with the help of sigmoid function. In the case of robust image encryption Luo et al (2019) has proposed an algorithm in which DWT is applied to decompose the signal in approximate and detailed components. After that the approximation part is scattered by threshold processing of local binary pattern operator based chaotic sequence.…”

Section: Literature Reviewmentioning

confidence: 99%

A systematic survey on Image Encryption using Compressive Sensing

Patel¹,

Vaish²

2020

JSR

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In today's world of developing technology, Multimedia transmission through public network is increasing drastically, so there is a need of fast transmission with data security. Compressive Sensing (CS), is a new approach which can acquire the signal in a compressed form. It dimensionally reduces the signal with the help of measurement matrix. Reduction of dimension is totally dependent on the Sparsity. CS has a feature to reconstruct the signal in lesser than the Nyquist sampling rate if the signal is sparse. In the case of transmission, signal security is also a serious concern. CS has an embedded feature of cryptography. It works as a cryptosystem when measurement matrix is shared as a key between the sender and receiver. CS has a vital scope in medical imaging, video acquisition etc. Many researchers have tried to encrypt the signal with the help of different chaos based measurement matrix. This paper gives a detailed survey and critical analysis on the image encryption techniques using CS which can help the naive researchers to excel the field.

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“…In a word, chaotic encryption provides a new choice for traditional encryption. In recent years, many effective chaos image encryption algorithms have been proposed [13][14][15][16][17][18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Networked Chaotic Map Model and Its Applications in Color Multiple Image Encryption

et al. 2020

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In this study, a networked spatiotemporal chaotic map model is proposed based on the traditional coupled map lattice system. In addition, the time delay and variable topology parameters are considered to make the system more practical. The chaotic properties are analyzed using a bifurcation diagram, Lyapunov exponents, and entropies. In addition, institute of standards and technology tests are conducted to further analyze the randomness of the system signal. Based on the proposed system, a three-dimensional encryption algorithm is designed to encrypt multiple color images with scrambling and diffusion at the bit level. Several analyses, including histogram analysis, information entropy analysis, correlation analysis, key sensitivity, differential attack analysis, and resistance analyses, are performed to test the effectiveness and robustness of the proposed multiple image encryption algorithm with a networked chaotic map model.

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A robust image encryption algorithm based on Chua's circuit and compressive sensing

Cited by 110 publications

References 66 publications

A Dynamic Triple-Image Encryption Scheme Based on Chaos, S-Box and Image Compressing

A Dynamic Triple-Image Encryption Scheme Based on Chaos, S-Box and Image Compressing

A systematic survey on Image Encryption using Compressive Sensing

Networked Chaotic Map Model and Its Applications in Color Multiple Image Encryption

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