Image compression-encryption scheme based on fractional order hyper-chaotic systems combined with 2D compressed sensing and DNA encoding

Yang, Yu‐Guang; Guan, Bowen; Li, Jian; Li, Dan; Zhou, Yi‐Hua; Shi, Wei‐Min

doi:10.1016/j.optlastec.2019.105661

Cited by 74 publications

(38 citation statements)

References 39 publications

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“…a better encryption effect. Table.1 shows 8 ways of DNA coding [49]. Because each DNA encoding and decoding method has a corresponding DNA operation, in terms of the first encoding and decoding method, the corresponding DNA addition and subtraction operation are shown in Table.2.…”

Section: Dna Coding and Computingmentioning

confidence: 99%

“…Generally, the larger PSNR is, the smaller the distortion of the decompressed image is. The calculation formula of PSNR index is as follows [49]…”

Section: A Compression Performance Analysismentioning

confidence: 99%

“…Then, more efficient image encryption schemes based on the fractionalorder chaotic system have been proposed [48]- [59]. Yang et al designed an image compression-encryption scheme based on fractional-order hyperchaotic systems combined with 2D compressed sensing and DNA encoding [49]. In [55], the authors proposed a three-dimensional fractionalorder discrete Hopfield neural network and applied it to image encryption.…”

Section: Introductionmentioning

confidence: 99%

“…Among the recently proposed algorithms, the fractional-order chaotic system is not used in the algorithm [38] and DNA computing is not used in the algorithm [42]. In addition, algorithm [48] only uses DNA addition and subtraction to encrypt images and algorithm [49] can only encrypt the gray image.…”

Section: Introductionmentioning

confidence: 99%

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Color Image Compression-Encryption Using Fractional-Order Hyperchaotic System and DNA Coding

et al. 2020

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Recently, many encryption algorithms based on fractional-order chaotic system have been proposed to solve the problem of image encryption. In this paper, we propose a novel color image compression-encryption algorithm based on fractional-order hyperchaotic system and DNA coding. In the data compression stage, the data of R, G, and B channels of the color image are converted to the frequency domain by two-dimensional discrete cosine transform (DCT), and then the amount of encrypted data is reduced by the quantization process. We design a data processing algorithm to ensure that the data after DCT is compatible with DNA coding data format. In the encryption stage, the processes of DNA encoding and decoding, DNA operation, and pixel scrambling are all controlled by the corresponding chaotic sequences, which are generated by the chaotic system. The original image is used to calculate the initial state of the chaotic system, which improves the performance of the algorithm against the chosen-plaintext attack significantly. Experimental results and security analysis illustrate that the proposed algorithm has excellent compression and security performance. It can not only reconstruct the original image well under the condition of low compression ratio, but also provide high security to resist various attacks. Besides, experimental results also indicate that the algorithm proposed can be applied to the fields of color image compression, encryption, and transmission. INDEX TERMS Color image encryption, DNA encoding, fractional-order hyperchaotic system, discrete cosine transform(DCT), image compression.

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Section: Dna Coding and Computingmentioning

confidence: 99%

“…Generally, the larger PSNR is, the smaller the distortion of the decompressed image is. The calculation formula of PSNR index is as follows [49]…”

Section: A Compression Performance Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Color Image Compression-Encryption Using Fractional-Order Hyperchaotic System and DNA Coding

et al. 2020

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“…In the recent years, researchers have developed many image encryption schemes based on different theories like: chaos [3][4][5][6][7][8], Deoxyribonucleic Acid (DNA) [9][10][11][12] and Substitution-Box (S-box) [13][14][15]. These schemes were designed to solve different problems.…”

Section: Introductionmentioning

confidence: 99%

Cryptanalysis of a Pixel Permutation Based Image Encryption Technique Using Chaotic Map

Mokhnache¹,

Ziet²

2020

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Recently, a new image encryption algorithm was proposed by Anwar and Meghana. This encryption scheme uses the Arnold's chaotic cat map to permute the image pixels. The resulting image is then confused with both a secret image provided as part of the secret key and a secret value selected randomly from the permuted image. Using a random image as part of the secret key, gives this algorithm an infinite key space which increases its efficiency against brute-force attacks. In order to help improving the security of modern image encryption schemes, this paper presents a cryptanalysis of the proposed algorithm using a combination of chosen-plaintext and brute-force attacks. First, the infinite key space that the secret image offers is broken using a chosen-plaintext attack. Then, the permutation phase is reversed through a series of chosen-plaintext attacks too. Finally, the secret value chosen randomly from the permuted image is easily brute-forced due to its reduced number of possible values. By applying the above method, it is possible to restore the plain version of any image that was encrypted using the former encryption algorithm. Thus, relying on this algorithm to encrypt real sensitive data is not secure.

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A novel finite‐time terminal observer of a fractional‐order chaotic system with chaos entanglement function

Khan

2021

Math Methods in App Sciences

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This paper has extensively investigated a new fractional-order chaotic system based on a chaos entanglement function. The rich dynamics of the system are observed by various tools such as equilibrium point stability, Lyapunov exponents, bifurcation diagram, and limit cycles. The unexplored hidden multistability is discovered by changing the derivative order and system parameter values. We have also derived a new finite-time terminal observer to estimate the state variables of the fractional-order system whose convergence time solely depends on considered parameters. Simulations are realized to confirm the theoretical results.

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Image compression-encryption scheme based on fractional order hyper-chaotic systems combined with 2D compressed sensing and DNA encoding

Cited by 74 publications

References 39 publications

Color Image Compression-Encryption Using Fractional-Order Hyperchaotic System and DNA Coding

Color Image Compression-Encryption Using Fractional-Order Hyperchaotic System and DNA Coding

Cryptanalysis of a Pixel Permutation Based Image Encryption Technique Using Chaotic Map

A novel finite‐time terminal observer of a fractional‐order chaotic system with chaos entanglement function

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