Double Parameters Fractal Sorting Matrix and Its Application in Image Encryption

Xian, Yongjin; Wang, Xingyuan; Teng, Lin

doi:10.1109/tcsvt.2021.3108767

Cited by 111 publications

(27 citation statements)

References 33 publications

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“…In Ref. [35,36], the fractal sorting matrix (FSM) is introduced to the scrambling process in an image encryption algorithm. Due to the application of FSM, the security and efficiency of the image encryption are both improved.…”

Section: Related Workmentioning

confidence: 99%

Secure image block compressive sensing using complex Hadamard measurement matrix and bit‐level XOR

Xue

Wang

2022

IET Information Security

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This paper proposes a novel image compression-encryption scheme based on compressive sensing and bit-level XOR. In the proposed scheme, the encrypted sequences are generated from a 4-D hyper-chaotic Lorenz system and a Logistic system. First, an original image is sampled by a secure block parallel compressive sensing (PCS) scheme. In the PCS phase, a key-controlled discrete cosine transform sparse basis matrix and a key-controlled complex Hadamard measurement matrix are employed. Next, the real part and imaginary part of the resulting complex-valued data are quantized and transformed into bit streams, respectively. After that, the two generated bit streams are combined into one bit stream. Then, the resulting bit stream is further encrypted by a bitlevel XOR operation, where the encrypted key is generated from a chaotic system. The experiment results show the effectiveness and reliability of the proposed joint compression-encryption scheme. The proposed scheme can not only enhance the security of the compressed image but also improve the reconstructed quality of the compressed image.

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Section: Related Workmentioning

confidence: 99%

Secure image block compressive sensing using complex Hadamard measurement matrix and bit‐level XOR

Xue

Wang

2022

IET Information Security

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“…To sort out the issues of computation complexity and providing a high level of security to the digital data, significant research has been carried out in which some of them are based on frequency transformation, and chaotic systems based integrated with substitution boxes (Sboxes) [41][42][43][44][45][46][47][48][49].…”

Section: Related Workmentioning

confidence: 99%

A lightweight noise-tolerant encryption scheme for secure communication: An unmanned aerial vehicle application

et al. 2022

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In the modern era, researchers have focused a great deal of effort on multimedia security and fast processing to address computational processing time difficulties. Due to limited battery capacity and storage, Unmanned Aerial Vehicles (UAVs) must use energy-efficient processing. In order to overcome the vulnerability of time inefficiency and provide an appropriate degree of security for digital images, this paper proposes a new encryption system based on the bit-plane extraction method, chaos theory, and Discrete Wavelet Transform (DWT). Using confusion and diffusion processes, chaos theory is used to modify image pixels. In contrast, bit-plane extraction and DWT are employed to reduce the processing time required for encryption. Multiple cyberattack analysis, including noise and cropping attacks, are performed by adding random noise to the ciphertext image in order to determine the proposed encryption scheme’s resistance to such attacks. In addition, a variety of statistical security analyses, including entropy, contrast, energy, correlation, peak signal-to-noise ratio (PSNR), and mean square error (MSE), are performed to evaluate the security of the proposed encryption system. Moreover, a comparison is made between the statistical security analysis of the proposed encryption scheme and the existing work to demonstrate that the suggested encryption scheme is better to the existing ones.

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“…( 20), and next three sequences CR,CG and CB are generated by the inverse BCPIV process, subsequently, three sequences R_2, G_2, B_2 are produced by Eqs. (21)(22)(23)(24)(25)(26), finally the three sequences obtained are recombined to obtain the color decrypted image.…”

Section: Decryption Algorithmmentioning

confidence: 99%

“…Wang et al [20] introduced an image encryption algorithm based on matrix semi-tensor product and composite key, designed a new permutation method and composite key generation approach, making the generated encrypted images more secure and effective. They also designed single-parameter fractal ordering matrices [21] and two-parameter fractal ordering matrices [22] for the encryption process, which improved the encryption speed and the security of the encrypted images. Khan et al [23] introduced an image cryptographic scheme based on a permutationdiffusion framework, which is more productive due to the use of predefined S-boxes, Chebyshev polynomials and fractal Tromino in the encryption process.…”

Section: Introductionmentioning

confidence: 99%

CIE-LSCP: color image encryption scheme based on the lifting scheme and cross-component permutation

Chen

Gong

Gan

et al. 2022

Complex Intell. Syst.

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Encryption of meaningful images into unidentifiable noise-like images can improve the security of images during storage and transmission. In this paper, a novel color image encryption method based on the lifting scheme and cross-component permutation (CIE-LSCP) is introduced. First, original image is divided into red, green and blue components, and then the three components are processed by a preprocessing strategy based on the lifting scheme (PSLS) to change the statistical distribution of the pixels. Second, a block-based cross-component permutation based on index vectors (BCPIV) is presented to divide three preprocessed components into blocks and perform the cross-component permutation operation on them, and three random matrices are utilized to determine the target component, target block and target pixel position of the current pixel to be moved, respectively. Subsequently, a multi stochastic diffusion based on random sequences (MSDRS) is developed to alter the pixel values of the permutated components, and finally a ciphertext image is gotten by merging the three components. Moreover, the SHA256 hash values of the plaintext image are used to obtain the initial parameters of the chaotic system, and the obtained chaotic sequences are applied in the image encryption process. Wherein the generated random sequences are highly reliant on the plaintext image, making the encryption scheme resistant to both known-plaintext attacks and chosen-plaintext attacks. Experimental results demonstrate that the proposed scheme has good security and effectiveness and can be applied for secure transmission of digital images over the Internet.

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Double Parameters Fractal Sorting Matrix and Its Application in Image Encryption

Cited by 111 publications

References 33 publications

Secure image block compressive sensing using complex Hadamard measurement matrix and bit‐level XOR

Secure image block compressive sensing using complex Hadamard measurement matrix and bit‐level XOR

A lightweight noise-tolerant encryption scheme for secure communication: An unmanned aerial vehicle application

CIE-LSCP: color image encryption scheme based on the lifting scheme and cross-component permutation

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