Image encryption using DNA addition combining with chaotic maps

Zhang, Qiang; Guo, Ling; Wei, Xiaopeng

doi:10.1016/j.mcm.2010.06.005

Cited by 345 publications

(167 citation statements)

References 20 publications

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“…To analyze the security of the entire encryption algorithm intuitively [21][22][23][24][25], we took 1 × 10 4 pixel points of each experimental image as samples. Next, we should demonstrate that using the scrambling algorithm can improve the security of the entire encryption algorithm.…”

Section: Space Of the Josephus Rulementioning

confidence: 99%

Periodic characteristics of the Josephus ring and its application in image scrambling

Chai

Liang

et al. 2018

J Wireless Com Network

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This paper proposes a new image scrambling algorithm based on the periodic characteristics of the Josephus ring. The algorithm composes the pretreatment part of the entire image encryption system and scrambles the rows and columns of the plain image. The Josephus scrambling algorithm is adjustable by using three kinds of parameters: step, m 0 , and n. Different values affect the size of the periodic value of the Josephus ring. In this paper, we focus on the method of determining the period of the Josephus cycle when the parameters are set and the Josephus rule space under arbitrary parameters. Because the Josephus ring is a mathematical problem, we analyze it using the group theory of modern algebra. After the Josephus scrambling, the plain image is encrypted. Because a CA is suitable for image encryption, the encryption part adopts a CA encryption algorithm using a one-dimensional, four-neighbor CA, which has chaotic behavior at the rules of 9d62 (hex). Finally, the number of pixels change rate, the unified averaged changed intensity test, and correlation detection are carried out on the experimental results. The results show that the use of the Josephus scrambling algorithm greatly improves the security of the entire encryption system.

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Section: Space Of the Josephus Rulementioning

confidence: 99%

Periodic characteristics of the Josephus ring and its application in image scrambling

Chai

Liang

et al. 2018

J Wireless Com Network

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“…Then, the generated keys are combined with a key sequences derived from the Cyclic Elliptic Curve Points (CECP). [26] Deoxyribonucleic Acid matrix sequence is learnt by encoding the host image, and then decomposes the DNA sequence into some equal matrix blocks and use the DNA sequence addition operation to comprise the matrix blocks. Image pixels are shambled by the DNA addition and complementary operation.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The chaotic system is a nonlinear deterministic system [51].The characteristics are: randomness in performance, more sensitivity to primary conditions and system attributes. Chaotic system dynamic system defined as the following Eq.1: Cϵ(0,1),i=0,1,2,3 (…”

Section: Basic Theory Of Chaotic Systemsmentioning

confidence: 99%

2D Chaotic Map Based on 2D Adaptive Grey Wolf Algorithm for Ultra Sound Medical Image Security

Koppu¹,

Madhu²

2017

IJIES

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Abstract:In this paper, we have proposed a chaos-based visual encryption method that can be applied to Ultra Sound Medical Images. We used adaptive Grey Wolf Optimization (GWO) to archive Ultra Sound Medical Image encryption. The robustness of the proposed image encryption are measured by various security attacks such as key sensitivity, histogram analysis, adjacent pixel autocorrelation, chi-square test, etc. Moreover, analytical outcomes are compared with the conventional algorithms like Genetic Algorithm (GA) and GWO. The experimental result shows that the proposed method is faster with low complexity.

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“…Lenna image. Therefore, we perform fair comparisons between the proposed LSIC and peer methods [6], [14], [15], [16], [17], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54]. in three following aspects:…”

Section: A Experiments Settings and Datasetmentioning

confidence: 99%

Design of image cipher using latin squares

Zhou²,

Noonan

et al. 2014

Information Sciences

167

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In this paper, we introduce a symmetric-key Latin square image cipher (LSIC) for grayscale and color images. Our contributions to the image encryption community include 1) we develop new Latin square image encryption primitives including Latin Square Whitening, Latin Square S-box and Latin Square P-box ; 2) we provide a new way of integrating probabilistic encryption in image encryption by embedding random noise in the least significant image bit-plane; and 3) we construct LSIC with these Latin square image encryption primitives all on one keyed Latin square in a new loom-like substitution-permutation network. Consequently, the proposed LSIC achieve many desired properties of a secure cipher including a large key space, high key sensitivities, uniformly distributed ciphertext, excellent confusion and diffusion properties, semantically secure, and robustness against channel noise. Theoretical analysis show that the LSIC has good resistance to many attack models including brute-force attacks, ciphertext-only attacks, known-plaintext attacks and chosen-plaintext attacks. Experimental analysis under extensive simulation results using the complete USC-SIPI Miscellaneous image dataset demonstrate that LSIC outperforms or reach state of the art suggested by many peer algorithms. All these analysis and results demonstrate that the LSIC is very suitable for digital image encryption. Finally, we open source the LSIC MATLAB code under webpage https://sites.google.com/site/tuftsyuewu/source-code.

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Image encryption using DNA addition combining with chaotic maps

Cited by 345 publications

References 20 publications

Periodic characteristics of the Josephus ring and its application in image scrambling

Periodic characteristics of the Josephus ring and its application in image scrambling

2D Chaotic Map Based on 2D Adaptive Grey Wolf Algorithm for Ultra Sound Medical Image Security

Design of image cipher using latin squares

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