A color image cryptosystem based on dynamic DNA encryption and chaos

Chai, Xiuli; Fu, Xianglong; Gan, Zhihua; Gong, Mengxin; Chen, Yiran

doi:10.1016/j.sigpro.2018.09.029

Cited by 478 publications

(280 citation statements)

References 70 publications

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“…From the table, we can see that in most of the test images the histogram variance of the proposed algorithm is less as than from Ref. [62] and Ref. [49].…”

Section: Histogram Analysismentioning

confidence: 92%

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3C3R, an Image Encryption Algorithm Based on BBI, 2D-CA, and SM-DNA

Khan

Han

Mudassir

et al. 2019

Entropy

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Color image encryption has enticed a lot of attention in recent years. Many authors proposed a chaotic system-based encryption algorithms for that purpose. However, due to the shortcomings of the low dimensional chaotic systems, similar rule structure for RGB channels, and the small keyspace, many of those were cryptanalyzed by chosen-plaintext or other well-known attacks. A Security vulnerability exists because of the same method being applied over the RGB channels. This paper aims to introduce a new three-channel three rules (3C3R) image encryption algorithm along with two novel mathematical models for DNA rule generator and bit inversion. A different rule structure was applied in the different RGB-channels. In the R-channel, a novel Block-based Bit Inversion (BBI) is introduced, in the G-channel Von-Neumann (VN) and Rotated Von-Neumann (RVN)- based 2D-cellular structure is applied. In the B-channel, a novel bidirectional State Machine-based DNA rule generator (SM-DNA) is introduced. Simulations and results show that the proposed 3C3R encryption algorithm is robust against all well-known attacks particularly for the known-plaintext attacks, statistical attacks, brute-force attacks, differential attacks, and occlusion attacks, etc. Also, unlike earlier encryption algorithms, the 3C3R has no security vulnerability.

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“…From the table, we can see that in most of the test images the histogram variance of the proposed algorithm is less as than from Ref. [62] and Ref. [49].…”

Section: Histogram Analysismentioning

confidence: 92%

“…The table values in bold fonts clearly concludes that our 3C3R overall performing much better than Refs. [56,62,76,91]. Hence, our 3C3R assures better image security.…”

Section: Performance Comparisonmentioning

confidence: 93%

3C3R, an Image Encryption Algorithm Based on BBI, 2D-CA, and SM-DNA

Khan

Han

Mudassir

et al. 2019

Entropy

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show abstract

“…The lower variance means the higher uniformity of histogram. The variance [35] of the histogram is defined as follows:…”

Section: Histogram Analysismentioning

confidence: 99%

Quantum Image Encryption Scheme Using Arnold Transform and S-box Scrambling

Liu

Zhao

Huang

2019

Entropy

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The paper proposes a lossless quantum image encryption scheme based on substitution tables (S-box) scrambling, mutation operation and general Arnold transform with keys. First, the key generator builds upon the foundation of SHA-256 hash with plain-image and a random sequence. Its output value is used to yield initial conditions and parameters of the proposed image encryption scheme. Second, the permutation and gray-level encryption architecture is built by discrete Arnold map and quantum chaotic map. Before the permutation of Arnold transform, the pixel value is modified by quantum chaos sequence. In order to get high scrambling and randomness, S-box and mutation operation are exploited in gray-level encryption stage. The combination of linear transformation and nonlinear transformation ensures the complexity of the proposed scheme and avoids harmful periodicity. The simulation shows the cipher-image has a fairly uniform histogram, low correlation coefficients closed to 0, high information entropy closed to 8. The proposed cryptosystem provides 2256 key space and performs fast computational efficiency (speed = 11.920875 Mbit/s). Theoretical analyses and experimental results prove that the proposed scheme has strong resistance to various existing attacks and high level of security.

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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 color image cryptosystem based on dynamic DNA encryption and chaos

Cited by 478 publications

References 70 publications

3C3R, an Image Encryption Algorithm Based on BBI, 2D-CA, and SM-DNA

3C3R, an Image Encryption Algorithm Based on BBI, 2D-CA, and SM-DNA

Quantum Image Encryption Scheme Using Arnold Transform and S-box Scrambling

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

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