Adaptive embedding: A novel meaningful image encryption scheme based on parallel compressive sensing and slant transform

Jiang, Donghua; Liu, Lidong; Zhu, Liya; Wang, Xingyuan; Rong, Xianwei; Chai, Hongxiang

doi:10.1016/j.sigpro.2021.108220

Cited by 75 publications

(27 citation statements)

References 41 publications

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“…The value of pixel change rate (NPCR) [48,49] and the unified average change intensity (UACI) [50] are utilized to determine the ability of the new scheme against differential attacks, which are given by…”

Section: Differential Attack Analysismentioning

confidence: 99%

Applicable Image Security Based on New Hyperchaotic System

et al. 2021

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Hyperchaotic systems are widely applied in the cryptography domain on account of their more complex dynamical behavior. In view of this, the greatest contribution of this paper is that a two-dimensional Sine coupling Logistic modulated Sine (2D-SCLMS) system is proposed based on Logistic map and Sine map. By a series of analyses, including Lyapunov index (LE), 0–1 test, two complexity analysis methods, and two entropy analysis methods, it is concluded that the new 2D-SCLMS map is hyperchaotic with a wider range of chaos and more complex randomness. The new system combined with two-dimensional Logistic-Sine Coupling Mapping (2D-LSCM) is further applied to an image encryption application. SHA-384 is used to generate the initial values and parameters of the two chaotic systems. Symmetric keys are generated during this operation, which can be applied to the proposed image encryption and decryption algorithms. The encryption process and the decryption process of the new image encryption approaches mainly include pixel scrambling, exclusive NOR (Xnor), and diffusion operations. Multiple experiments illustrate that this scheme has higher security and lower time complexity.

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Section: Differential Attack Analysismentioning

confidence: 99%

Applicable Image Security Based on New Hyperchaotic System

et al. 2021

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“…However, none of the above algorithms compress images to relieve transmission pressure, which is not suitable for bandwidth-limited situations. To solve the above problems, compressive sensing was introduced into the field of image encryption to reduce the amount of transmitted data [20][21][22][23][24][25][26][27][28][29][30][31]. For example, Yao et al [21] designed an image encryption algorithm using Gaussian random matrix as the measurement matrix.…”

Section: Introductionmentioning

confidence: 99%

“…If the cipher image looks like a normal image, the possibility of being attacked can be reduced. Therefore, some scholars embed the compressed encrypted image into a visible image [22,[26][27][28]. For example, in [27], the embedding process is realized by incompletely reversible discrete wavelet transform (DWT), and the quality of the decrypted image is affected by the carrier image.…”

Section: Introductionmentioning

confidence: 99%

Novel and secure plaintext‐related image encryption algorithm based on compressive sensing and tent‐sine system

Shu-feng

Huang

Cai

et al. 2022

IET Image Processing

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In this paper, a secure plaintext-related image encryption scheme based on compressive sensing and a tent-sine system is proposed. First, the discrete wavelet transform (DWT) is used to transform the plain image to get a coefficient matrix. Second, several chaotic sequences generated by the tent-sine chaotic map are used to scramble the coefficient matrix and construct a measurement matrix. Afterward, compressive sensing is performed on the coefficient matrix to obtain a small-sized encrypted image. Finally, an image encryption scheme related to plaintext is designed. In particular, the proposed system uses the original image information to participate in the encryption process, ensuring the high sensitivity of the cryptosystem to minor differences in the plain image and good performance on resisting known/selected plaintext attacks. Furthermore, to convey the plaintext-related parameters to the receiver, the dimension of the ciphertext image is expanded, and the parameters are embedded into the ciphertext image. Simulation results and security analysis show that the proposed image encryption system has strong plaintext sensitivity and robustness for effectively resisting various typical attacks such as brute-force attacks, statistical attacks, and differential attacks.

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“…To boost encryption effectiveness, in addition to using chaotic systems with high real-time performance, the problem should be solved from the image itself, such as compressing and encrypting the image [ 22 , 23 , 24 ]. Unfortunately, most compression algorithms lead to lossy image decryption, and any degradation of image quality may lead to misdiagnosis, so most methods of image compression are not suitable for medical images.…”

Section: Introductionmentioning

confidence: 99%

An Encryption Algorithm for Region of Interest in Medical DICOM Based on One-Dimensional eλ-cos-cot Map

Meng

et al. 2022

Entropy

Self Cite

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Today, with the rapid development of the Internet, improving image security becomes more and more important. To improve image encryption efficiency, a novel region of interest (ROI) encryption algorithm based on a chaotic system was proposed. First, a new 1D eλ-cos-cot (1D-ECC) with better chaotic performance than the traditional chaotic system is proposed. Second, the chaotic system is used to generate a plaintext-relate keystream based on the label information of a medical image DICOM (Digital Imaging and Communications in Medicine) file, the medical image is segmented using an adaptive threshold, and the segmented region of interest is encrypted. The encryption process is divided into two stages: scrambling and diffusion. In the scrambling stage, helical scanning and index scrambling are combined to scramble. In the diffusion stage, two-dimensional bi-directional diffusion is adopted, that is, the image is bi-directionally diffused row by column to make image security better. The algorithm offers good encryption speed and security performance, according to simulation results and security analysis.

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Adaptive embedding: A novel meaningful image encryption scheme based on parallel compressive sensing and slant transform

Cited by 75 publications

References 41 publications

Applicable Image Security Based on New Hyperchaotic System

Applicable Image Security Based on New Hyperchaotic System

Novel and secure plaintext‐related image encryption algorithm based on compressive sensing and tent‐sine system

An Encryption Algorithm for Region of Interest in Medical DICOM Based on One-Dimensional eλ-cos-cot Map

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