Color image encryption based on chaotic compressed sensing and two-dimensional fractional Fourier transform

Wang, Xingyuan; Su, Yining

doi:10.1038/s41598-020-75562-z

Cited by 32 publications

(15 citation statements)

References 49 publications

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“…It can be seen from Table 3 that the correlation coefficients of the ciphertext image of the color image and the grayscale image are close to 0, and are basically better than the values in references [ 23 , 24 , 25 ], indicating that our encryption method can resist statistics attacks and have higher security.…”

Section: Simulation Results and Analysismentioning

confidence: 78%

Multi-Image Compression–Encryption Algorithm Based on Compressed Sensing and Optical Encryption

Wei

Zhang

Tong

2022

Entropy

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In order to achieve large-capacity, fast and secure image transmission, a multi-image compression–encryption algorithm based on two-dimensional compressed sensing (2D CS) and optical encryption is proposed in this paper. Firstly, the paper uses compressed sensing to compress and encrypt multiple images simultaneously, and design a new structured measurement matrix. Subsequently, double random phase encoding based on the multi-parameter fractional quaternion Fourier transform is used to encrypt the multiple images for secondary encryption, which improves the security performance of the images. Moreover, a fractional-order chaotic system with more complex chaotic behavior is constructed for image compression and encryption. Experimental results show that the algorithm has strong robustness and security.

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Section: Simulation Results and Analysismentioning

confidence: 78%

Multi-Image Compression–Encryption Algorithm Based on Compressed Sensing and Optical Encryption

Wei

Zhang

Tong

2022

Entropy

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“…e diffusion operation is done through the permutation of rows and columns of A d (u, v) and permuted value is denoted as A p . Suppose (23,56,12) are initial values of chaotic sequence o; then, the first three rows of A d will be positioned at (23,56,12) rows of A p . e permuted value A p is acquired by row and column permutation on A d .…”

Section: Proposed Audio Encryption Algorithmmentioning

confidence: 99%

“…e predominant applications of chaos are multimedia encryption applications. Chaotic maps were extensively deployed in various image encryption schemes [21][22][23][24][25][26][27][28]. In particular, chaos-oriented audio encryption algorithms are in limelight due to excellent cryptographic attributes.…”

Section: Introductionmentioning

confidence: 99%

A Noise-Tolerant Audio Encryption Framework Designed by the Application of S8 Symmetric Group and Chaotic Systems

Aziz

Gilani

Hussain

et al. 2021

Mathematical Problems in Engineering

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The recent decade has witnessed an exponential surge of digital content, especially multimedia and its applications. The security requirements of these innovative platforms necessitate the significance of enhancing advanced encryption schemes. In this paper, a novel encryption scheme is presented for real-time audio applications. The framework of the proposed scheme is grounded on the principles of confusion and diffusion. The confusion incorporates nonlinearity by the application of Mordell elliptic curves (MEC) and a symmetric group of permutations S8. The endurance of the proposed scheme is further enriched through the application of chaotic maps. The proposed scheme is intended to cater requirements of real-time voice communications in defense applications particularly warzones. The adoption of a modular design and fusion of chaotic maps makes the algorithm viable for numerous real-time audio applications. The security can further be enriched by incorporating additional rounds and number of S-boxes in the algorithm. The security and resistance of the algorithm against various attacks are gaged through performance evaluation and security measurements. The audio encryption scheme has the ability to tolerate noise triggered by a channel or induced by an invader. The decryption was successful and the resultant output was audible for noisy data. The overall results depict that the proposed audio encryption scheme contains an excellent cryptographic forte with the minimum computational load. These characteristics allow the algorithm to be a hotspot for modern robust applications.

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“…The fractional Fourier transform (FRFT) is a generalized form of the Fourier transform [38][39]. It is obtained by rotating the natural signal counterclockwise at any angle on the time axis.…”

Section: Fractional Fourier Transformmentioning

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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Color image encryption based on chaotic compressed sensing and two-dimensional fractional Fourier transform

Cited by 32 publications

References 49 publications

Multi-Image Compression–Encryption Algorithm Based on Compressed Sensing and Optical Encryption

Multi-Image Compression–Encryption Algorithm Based on Compressed Sensing and Optical Encryption

A Noise-Tolerant Audio Encryption Framework Designed by the Application of S8 Symmetric Group and Chaotic Systems

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

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