An image encryption algorithm based on chaotic system and compressive sensing

Chai, Xiuli; Zheng, Xiaoyu; Gan, Zhihua; Han, Daojun; Chen, Yiran

doi:10.1016/j.sigpro.2018.02.007

Cited by 321 publications

(160 citation statements)

References 55 publications

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“…In the proposed algorithm for image transform, we apply particular Parseval framelet systems in H = L 2 (R) that were constructed from B-spline whose refinement mask is h 0 = 1/4 [1,2,1], with two corresponding framelet masks h 1 = 2/4[1, 0, −1]…”

Section: Frame Theorymentioning

confidence: 99%

2D Hybrid chaos map for image security transform based on framelet and cellular automata

Khedmati

Parvaz

Behroo

2020

Information Sciences

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In this paper, we provide some safe ways to transfer images securely by using cryptography and steganography methods. In order to enhance the security of the image transmission, we introduce a new type of uniformly distributed 2Dhybrid chaos map based on Logistic, Sine and Tent maps, and use the cellular automata and discrete framelet transform in the proposed algorithms and also mix the position of the image pixels by apply kinds of shifts. To show that the proposed algorithms are able to resist various attacks, different types of simulation results and security analysis are used.

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Section: Frame Theorymentioning

confidence: 99%

2D Hybrid chaos map for image security transform based on framelet and cellular automata

Khedmati

Parvaz

Behroo

2020

Information Sciences

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“…However, the measurement matrix was generated from low-dimensional chaotic systems with the simple structures, which greatly reduce the security and the sensitive of the algorithms. To solve this problem, highdimensional chaotic maps were applied in the image encryption methods [3][4][5]. The Chen's hyperchaotic system was performed on the 2D CS-based image encryption algorithm in [3].…”

Section: Introductionmentioning

confidence: 99%

“…The Chen's hyperchaotic system was performed on the 2D CS-based image encryption algorithm in [3]. Chai et al [4] explored a new magnetic controlled memristive chaotic system to construct the circular measurement matrix and encrypt the image, which can enhance the security. Recently, Xu et al [5] also applied a hyper-chaotic system to encrypt image, which achieved an acceptable compression effects.…”

Section: Introductionmentioning

confidence: 99%

Color image encryption via compressive sensing and chaotic systems

Zhu

Cheng

2020

MATEC Web Conf.

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In this paper, we design a color image encryption algorithm based on chaotic system and block compressive sensing. Firstly, the sparse representation of the plain-image is obtained by an adaptive learning dictionary. Secondly, the key streams are produced from two excellent lowdimensional chaotic maps, where updating the initial values and parameters rely on the SHA-384 and the input image. Thirdly, three measurement matrices of R, G, B components are constructed from the chaotic sequences, respectively. Finally, a random rows and columns diffusion method is performed on the encrypted image. Experimental results and safety analysis prove that the proposed scheme has excellent performance.

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“…e process of reconstructing the signal is an optimization problem, and the original signal is reconstructed with high probability from little observations by solving this optimization problem. Following this principle, many image encryption algorithms were developed based on compressive sensing [8][9][10][11][12][13][14][15][16][17][18]. Zhou et al [8] proposed combining high-dimensional chaotic systems to compress and encrypt the image with 2D compressed sensing and then to reencrypt the image by the cyclic shift operation.…”

Section: Introductionmentioning

confidence: 99%

“…e proposed algorithm has low complexity and high security, but the robustness of the algorithm is not great, and the reconstruction effect of the original image is poor. Chai et al [10] used the memristive chaotic system, elementary cellular automata (ECA), and compressive sensing (CS) to encrypt and compress images. is can resist plaintext attacks with high robustness and security.…”

Section: Introductionmentioning

confidence: 99%

Novel Meaningful Image Encryption Based on Block Compressive Sensing

Pan

Huang

et al. 2019

Security and Communication Networks

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is paper proposes a new image compression-encryption algorithm based on a meaningful image encryption framework. In block compressed sensing, the plain image is divided into blocks, and subsequently, each block is rendered sparse. e zigzag scrambling method is used to scramble pixel positions in all the blocks, and subsequently, dimension reduction is undertaken via compressive sensing. To ensure the robustness and security of our algorithm and the convenience of subsequent embedding operations, each block is merged, quantized, and disturbed again to obtain the secret image. In particular, landscape paintings have a characteristic hazy beauty, and secret images can be camou aged in them to some extent. For this reason, in this paper, a landscape painting is selected as the carrier image. After a 2-level discrete wavelet transform (DWT) of the carrier image, the lowfrequency and high-frequency coe cients obtained are further subjected to a discrete cosine transform (DCT). e DCT is simultaneously applied to the secret image as well to split it. Next, it is embedded into the DCT coe cients of the low-frequency and high-frequency components, respectively. Finally, the encrypted image is obtained. e experimental results show that, under the same compression ratio, the proposed image compression-encryption algorithm has better reconstruction e ect, stronger security and imperceptibility, lower computational complexity, shorter time consumption, and lesser storage space requirements than the existing ones.

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An image encryption algorithm based on chaotic system and compressive sensing

Cited by 321 publications

References 55 publications

2D Hybrid chaos map for image security transform based on framelet and cellular automata

2D Hybrid chaos map for image security transform based on framelet and cellular automata

Color image encryption via compressive sensing and chaotic systems

Novel Meaningful Image Encryption Based on Block Compressive Sensing

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