A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding

Zhu, Liya; Song, Huansheng; Zhang, Xi; Yan, Maode; Zhang, Tao; Xiao-yan, Wang; Xu, Juan

doi:10.1016/j.sigpro.2020.107629

Cited by 118 publications

(72 citation statements)

References 51 publications

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“…Step 11: iterate equation (2) under system parameter p and initial condition t 0 . e revolving control sequence RS5 and the key sequence KS1 are generated by equations (32) and (33), respectively:…”

Section: Decryption Algorithmmentioning

confidence: 99%

“…Ye et al [31] proposed an image encryption scheme by using quaternion discrete fractional Hartley transform and an improved pixel adaptive diffusion. In [32], Zhu et al use block compressive sensing and singular value decomposition embedding to balance the security, compression, and robustness. In [33], an image encryption scheme is proposed by using 2D multiple parameter fractional discrete Fourier transform and 3D Arnold transform.…”

Section: Introductionmentioning

confidence: 99%

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An Effective Chaos-Based Image Encryption Scheme Using Imitating Jigsaw Method

Peng

Tan

et al. 2021

Complexity

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In this paper, an efficient chaos-based image encryption scheme is proposed, which uses the imitating jigsaw method containing revolving and shifting operations. In this scheme, there are three processes in encryption: preprocessing, encryption process, and postprocessing. In the preprocessing, the original image is partitioned into 64 × 64 pixel image blocks and then randomly revolved and shifted under control sequences which are generated by the hyperchaotic Lorenz system whose initial conditions are calculated by original image and keys. Therefore, the preprocessing is sensitive to plain image against differential attacks. In the encryption process, the after-preprocessing image is partitioned into 32 × 32 pixel image blocks; next they are randomly revolved and encrypted by control sequence and key blocks which are generated by the skew tent map. In postprocessing, the after-encryption image is partitioned into 16 × 16 pixels’ image blocks, and they are randomly revolved and shifted again under control sequences which are related with encrypted image and keys. The postprocessing further increases the diffusion characteristics. Moreover, the test experiment and security analyses are given; the results show that our proposed cryptosystem has both security and speed performance.

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Section: Decryption Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Effective Chaos-Based Image Encryption Scheme Using Imitating Jigsaw Method

Peng

Tan

et al. 2021

Complexity

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show abstract

“…To prevent the image from being destroyed maliciously in the transmission process, the image encryption algorithm should have strong robustness, allowing the ciphertext image to be decrypted correctly following its attack by noise or cropping [56]. We use the ciphertext image obtained by the proposed algorithm for robustness analysis.…”

Section: K Robustness Analysismentioning

confidence: 99%

A Novel Chaotic Block Image Encryption Algorithm Based on Deep Convolutional Generative Adversarial Networks

Fang

Liu

2021

IEEE Access

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This paper proposes a novel chaotic block image encryption algorithm based on deep convolutional generative adversarial networks (DCGANs), quaternions, an improved Feistel network, and an overall scrambling and diffusion mechanism. First, a new hyperchaotic system is introduced and combined with DCGANs to generate a random sequence with better randomness and complexity as a key stream. This sequence is then combined with a quaternion and an improved Feistel network encryption of a colour plaintext image by utilizing the key block matrix to ultimately achieve overall scrambling and diffusion of the cipher image. Finally, the security of this algorithm is quantitatively and qualitatively analysed. The simulation results show that the proposed hyperchaotic system has a large key space and good random characteristics and that the new algorithm yields adequate security and can resist brute-force attacks and chosen-plaintext attacks. Therefore, this approach provides a new way to achieve secure transmission and protection of image information. INDEX TERMS Image encryption, chaotic system, deep convolutional generative adversarial networks.

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“…However, the large-scale Gaussian random measurement matrix used as the key in Huang's scheme requires additional storage space and transmission cost. Subsequently, in order to overcome this issue, key-controlled partial Hadamard matrix [18][19], partial random block weighing matrix [20], structurally random matrix [21] and chaosbased measurement matrix [22][23][24] are introduced to compress the plain image. Besides, in the encryption phase, the counter mode [25][26], hash function [23,27] and plaintext eigenvalue [28] are applied to withstand the plaintext attacks, since different plain images correspond to different key streams.…”

Section: Introductionmentioning

confidence: 99%

Double-Image Visually Meaningful Encryption Algorithm Based on Compressed Sensing and Frft Embedding

Jiang

Liu

Zhu

et al. 2021

Preprint

Self Cite

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The transmission of images via the Internet has grown exponentially in the past few decades. However, the Internet considered as an insecure method of information transmission may cause serious privacy issues. In order to overcome such potential security issues, a novel double-image visually meaningful encryption (DIVME) algorithm conjugating quantum cellular neural network (QCNN), compressed sensing (CS) and fractional Fourier transform (FRFT) is proposed in this paper. First, the wavelet coefficients of the two plain images are scrambled by the Fisher-Yates confusion algorithm, and then compressed by the key-controlled partial Hadamard matrix. The final meaningful cipher image is generated by embedding the encrypted images into a host image with the same resolution of the plain image via the FRFT-based embedding method. Besides, the eigenvalues of the plain images are utilized to generate the key stream to improve the ability of proposed DIVME algorithm to withstand the plaintext attacks. Afterwards, the plaintext eigenvalues are embedded into the alpha channel of the meaningful cipher image under control of the keys to reduce unnecessary storage space and transmission costs. Ultimately, the simulation results and security analyses indicate that the proposed DIVME algorithm is effective and can withstand multiple attacks.

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A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding

Cited by 118 publications

References 51 publications

An Effective Chaos-Based Image Encryption Scheme Using Imitating Jigsaw Method

An Effective Chaos-Based Image Encryption Scheme Using Imitating Jigsaw Method

A Novel Chaotic Block Image Encryption Algorithm Based on Deep Convolutional Generative Adversarial Networks

Double-Image Visually Meaningful Encryption Algorithm Based on Compressed Sensing and Frft Embedding

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