A Plaintext-Related Dynamical Image Encryption Algorithm Based on Permutation-Combination-Diffusion Architecture

Liu, Lidong; Jiang, Donghua; An, Tingyu; Guan, Yifan

doi:10.1109/access.2020.2983716

Cited by 14 publications

(12 citation statements)

References 66 publications

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“…The histogram reflects the distribution of each gray level in the image. In this sub-section, chi-square test [41] is used to quantitatively analyze the ability of proposed encryption scheme to resist statistical attacks, which is defined in Eq. (24).…”

Section: Histogram Analysismentioning

confidence: 99%

A Novel Double-Image Encryption Algorithm Based on Rossler Hyperchaotic System and Compressive Sensing

Huang¹,

Jiang²,

An³

et al. 2021

IEEE Access

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In this paper, a novel double-image compression-encryption algorithm is proposed by combining Rossler hyperchaos and compressive sensing. In the proposed scheme, the sparse matrixes obtained by performing two-dimensional discrete wavelet transform on two plain images are first scrambled and compressed by index confusion and compressive sensing. Next, the compressed matrixes are linearly quantized, and then variable step length Josephus confusion and bitwise exclusive-OR operation are performed on them. The final noise-like cipher image is generated by hiding half of the encrypted image into the alpha channel of the other half of encrypted image. In order to realize "One cipher image corresponds to one key", a novel key generation mechanism is designed. Finally, the simulation analyses indicate that the proposed double-image encryption scheme has high transmission efficiency. Meanwhile, the average local information entropy of the cipher image is about 0.902 and the decryption quality is as high as 30 dB.

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Section: Histogram Analysismentioning

confidence: 99%

A Novel Double-Image Encryption Algorithm Based on Rossler Hyperchaotic System and Compressive Sensing

Huang¹,

Jiang²,

An³

et al. 2021

IEEE Access

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“…In other words, the encryption scheme is considered to be effective if the information of cipher images cannot be obtained through adjoining pixels. Mathematically, the correlation calculation formula of adjoining pixels is as follows [34].…”

Section: Correlation Of Adjacent Pixelsmentioning

confidence: 99%

A Novel Plaintext-Related Color Image Encryption Scheme Based on Cellular Neural Network and Chen’s Chaotic System

et al. 2021

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To address the problem that traditional stream ciphers are not sensitive to changes in the plaintext, a novel plaintext-related color image encryption scheme is proposed in this paper, which combines the 6-dimensional cellular neural network (CNN) and Chen’s chaotic system. This encryption scheme belongs to symmetric cryptography. In the proposed scheme, the initial key and switching function generated by the plaintext image are first utilized to control the CNN to complete the scrambling process. Then, Chen’s chaotic system is used to diffuse the scrambled image for realizing higher security. Finally, extensive performance evaluation is undertaken to validate the proposed scheme’s ability to offer the necessary security. Furthermore, the scheme is compared alongside state-of-the-art algorithms to establish its efficiency.

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“…The encryption scheme is considered to be effective if the information of the encrypted image cannot be obtained through adjacent pixels. The correlation calculation formula of adjacent pixels is as follows 40 .…”

Section: Correlation Of Adjacent Pixelsmentioning

confidence: 99%

A Novel Color Image Encryption Scheme Based on Cellular Neural Network and Chen's Chaotic System

Zhang¹,

Lei²,

Jiang³

et al. 2020

Preprint

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With the explosive development of communication technology, digital images are more widely stored and transmitted on the network as a medium of communication among people. At the same time, the security of the digital image has become the focus of people's attention, and it is also the hotspot and difficulty of current research. Therefore, a novel color image encryption scheme is proposed in this paper by combining the 6-dimensional cellular neural network (CNN) and Chen's hyperchaotic system. In the proposed scheme, the initial keys and switching function generated by the plaintext image are utilized to control the CNN to complete the scrambling operation. Then, using the Chen's hyperchaotic system to diffuse the scrambled image for realizing higher security. Finally, the simulation tests and security performance analyses on the proposed encryption scheme are carried out. Experimental results demonstrate that the proposed scheme has an excellent encryption effect compared with other advanced image cryptography systems.

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A Plaintext-Related Dynamical Image Encryption Algorithm Based on Permutation-Combination-Diffusion Architecture

Cited by 14 publications

References 66 publications

A Novel Double-Image Encryption Algorithm Based on Rossler Hyperchaotic System and Compressive Sensing

A Novel Double-Image Encryption Algorithm Based on Rossler Hyperchaotic System and Compressive Sensing

A Novel Plaintext-Related Color Image Encryption Scheme Based on Cellular Neural Network and Chen’s Chaotic System

A Novel Color Image Encryption Scheme Based on Cellular Neural Network and Chen's Chaotic System

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