An efficient image encryption algorithm based on multi chaotic system and random DAN coding

Zheng, Jiming; Luo, Zheng; Zeng, Qingxia

doi:10.1007/s11042-020-09454-9

Cited by 24 publications

(12 citation statements)

References 24 publications

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“…where a and b are the system parameters. When a ∈ (0, 3] and b = 2π or when a = 1 and b ∈ [4,7], the system becomes hyper chaotic.…”

Section: Chaotic Systemmentioning

confidence: 99%

“…This kind of algorithm mainly used the transformation matrix like magic cube transformation and Arnold cat map to permutation, and then used the chaotic system for diffusion. (2) The image encryption scheme that is based on deoxyribonucleic acid (DNA) encoding and chaotic system [7][8][9]. In this kind of scheme, the authors usually used DNA rules to encode the plain-image and controlled permutation and diffusion process on encoded data by the chaotic system.…”

Section: Introductionmentioning

confidence: 99%

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An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing

Peng

Tan

et al. 2021

Sensors

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With the development of mobile communication network, especially 5G today and 6G in the future, the security and privacy of digital images are important in network applications. Meanwhile, high resolution images will take up a lot of bandwidth and storage space in the cloud applications. Facing the demands, an efficient and secure plaintext-related chaotic image encryption scheme is proposed based on compressive sensing for achieving the compression and encryption simultaneously. In the proposed scheme, the internal keys for controlling the whole process of compression and encryption is first generated by plain image and initial key. Subsequently, discrete wavelets transform is used in order to convert the plain image to the coefficient matrix. After that, the permutation processing, which is controlled by the two-dimensional Sine improved Logistic iterative chaotic map (2D-SLIM), was done on the coefficient matrix in order to make the matrix energy dispersive. Furthermore, a plaintext related compressive sensing has been done utilizing a measurement matrix generated by 2D-SLIM. In order to make the cipher image lower correlation and distribute uniform, measurement results quantified the 0∼255 and the permutation and diffusion operation is done under the controlling by two-dimensional Logistic-Sine-coupling map (2D-LSCM). Finally, some common compression and security performance analysis methods are used to test our scheme. The test and comparison results shown in our proposed scheme have both excellent security and compression performance when compared with other recent works, thus ensuring the digital image application in the network.

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“…where a and b are the system parameters. When a ∈ (0, 3] and b = 2π or when a = 1 and b ∈ [4,7], the system becomes hyper chaotic.…”

Section: Chaotic Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing

Peng

Tan

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Permutation-diffusion is a classical structure for image encryption based on chaotic systems [16], and the permutation stage is divided into pixel-level and bit-level, and bit-level permutation has good encryption effect compared with pixel-level permutation because bit-level permutation can modify the pixel value, while pixel-level permutation only changes the pixel position. Zheng et al adopted a pixel-level fast permutation method [17], which can simultaneously permute the rows and columns coordinates of images and achieved good encryption efficiency, but is vulnerable to differential attacks. Some bit-level based image encryption methods have also been proposed, with different encryption algorithms, but all of them only permute the 8 bit binary number of a single pixel point, so that the weight of bit bits 0 and 1 of a pixel point remains unchanged [18,19].…”

Section: Introductionmentioning

confidence: 99%

A Novel Image Encryption Algorithm Based on Double Permutation and Random Diffusion

Zheng

xue

2022

Preprint

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To improve the image transmission security, an image encryption algorithm based on double permutation with random diffusion is proposed in this paper. This algorithm consists of three stages: adaptive key generation, double scrambling and random diffusion. Firstly, in order to make the key highly correlated with the plaintext image, we use the SHA-256 value of the plaintext image to generate the key. Then, the double permutation is mainly composed of pixel-level permutation and bit-level permutation. The pixel-level permutation uses chaotic sequences generated by the chaotic system to generate the permutation sequences and uses these two sequences to rearrange the row and column coordinates of the image. Secondly, we implement bit-level permutation using the Fisher-Yates Shuffle algorithm as a group of every four neighboring pixels. The double permutation breaks the high correlation between image pixels. Thirdly, in the diffusion stage, we propose a random diffusion algorithm to address the problem that the diffusion order and direction of current diffusion methods are fixed and not random. The permuted image is divided into four blocks, and the order and direction of the diffusion operation for each pixel in each block is determined according to the chaotic sequence from the chaotic system. Finally, experimental results and security analysis show that the algorithm has good performance and sufficient security. It can resist a variety of attacks, such as statistical attacks, brute force attacks, and plaintext/selective plaintext attacks.

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“…Gehani et al [20] set the DNA cryptography foundation using molecular approach and one-time pad concept, which has perfect privacy. Later then, after Gehani approach, numerous image encryption algorithms based on DNA cryptography emerged among the public [21][22][23][24][25][26]. Zhang et al [27] proposed an algorithm, which disturb the locations and values of the pixels using chaotic system and applying DNA cryptography, where the pseudo-DNA operations are controlled by the quaternary chaotic sequences.…”

Section: Introductionmentioning

confidence: 99%

Correcting Errors in Color Image Encryption Algorithm Based on Fault Tolerance Technique

2021

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Security standards have been raised through modern multimedia communications technology, which allows for enormous progress in security. Modern multimedia communication technologies are concerned with fault tolerance technique and information security. As a primary method, there is widespread use of image encryption to protect image information security. Over the past few years, image encryption has paid more attention to combining DNA technologies in order to increase security. The objective here is to provide a new method for correcting color image encryption errors due to the uncertainty of DNA computing by using the fractional order hyperchaotic Lorenz system. To increase randomness, the proposed cryptosystem is applied to the three plain image channels: Red, Green, and Blue. Several methods were compared including the following: entropy, correlation, key sensitivity, key space, data loss attacks, speed computation, Number of Pixel changing rate (NPCR), and Unified Average Change Intensity randomness (UACI) tests. Consequently, the proposed scheme is very secure against a variety of cryptographic attacks.

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An efficient image encryption algorithm based on multi chaotic system and random DAN coding

Cited by 24 publications

References 24 publications

An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing

An Efficient Plaintext-Related Chaotic Image Encryption Scheme Based on Compressive Sensing

A Novel Image Encryption Algorithm Based on Double Permutation and Random Diffusion

Correcting Errors in Color Image Encryption Algorithm Based on Fault Tolerance Technique

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