An Image Encryption Scheme Based on DNA Computing and Cellular Automata

Zhou, Shihua; Wang, Bin; Zheng, Xuedong; Zhou, Changjun

doi:10.1155/2016/5408529

Cited by 11 publications

(7 citation statements)

References 21 publications

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“…Jeyaram [11] et al proposed a new cellular automata-based image cipher that uses a radius-2, class-III CA to scramble pixels. A cellular automata and DNA computing-based image encryption method was presented by Zhou et al [45]. Their scheme introduces the Thymine DNA cellular automata and T-DNA-CA for encryption.…”

Section: Related Workmentioning

confidence: 99%

A Symmetric Key Multiple Color Image Cipher Based on Cellular Automata, Chaos Theory and Image Mixing

SundaraKrishnan

Sp²,

Jaison³

2021

ITC

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The transmission of significant masses of sensitive and secret images over a public network is inevitable, and demands effective tools and technology to safeguard and conceal the data. In this paper, a symmetric multiple color image encryption technique is proposed by adopting a dual permutation and dual substitution framework. Firstly, the input images are combined into a large image and then segmented into many small and equal-sized pure-image elements. Secondly, using the elementary cellular automata Rule-30, these pure-image elements are permuted to obtain mixed-image elements. Thirdly, second-level permutation is undertaken on the mixed-image elements by applying zigzag pattern scanning. Fourthly, pixel values are substituted by employing the circular shift method; subsequently, second-level pixel substitution is realized through using chaotic random sequences from a 2D logistic map. Finally, the big encrypted image is segmented into smaller encrypted images. Additionally, the keys are calculated from the input images to attain input sensitivity. The efficiency of this method is quantified, based on the unified average changing intensity (UACI), information entropy, number of pixels change rate (NPCR), key sensitivity, key space, histogram, peak signal-to-noise ratio (PSNR) and correlation coefficient (CC) performance metrics. The outcome of the experiments and a comparative analysis with two similar methods indicate that the proposed method produced high security results.

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Section: Related Workmentioning

confidence: 99%

A Symmetric Key Multiple Color Image Cipher Based on Cellular Automata, Chaos Theory and Image Mixing

SundaraKrishnan

Sp²,

Jaison³

2021

ITC

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“…For a comprehensive comparison, we use the logistic chaotic sequence under the same parameter to act on the operation of the DNA sequence. Additionally, histogram, information entropy [ 49 ], rate of base distribution, hamming distance [ 50 ], fixed point ratio [ 51 ], histogram variance [ 52 ], correlation coefficient, and the number of pixel change rate (NPCR) and unified average changing intensity (UACI) are used as the evaluation indexes. The relevant theories of these evaluation indexes are given by the following Eqs ( 3 )–( 16 ).…”

Section: Theoretical Basis Of This Studymentioning

confidence: 99%

New insights into the existing image encryption algorithms based on DNA coding

Xue

Zhou

2020

PLoS ONE

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Because a DNA nucleotide sequence has the characteristics of large storage capacity, high parallelism, and low energy consumption, DNA cryptography is favored by information security researchers. Image encryption algorithms based on DNA coding have become a research hotspot in the field of image encryption and security. In this study, based on a comprehensive review of the existing studies and their results, we present new insights into the existing image encryption algorithms based on DNA coding. First, the existing algorithms were summarized and classified into five types, depending on the type of DNA coding: DNA fixed coding, DNA dynamic coding, different types of base complement operation, different DNA sequence algebraic operations, and combinations of multiple DNA operations. Second, we analyzed and studied each classification algorithm using simulation and obtained their advantages and disadvantages. Third, the DNA coding mechanisms, DNA algebraic operations, and DNA algebraic combination operations were compared and discussed. Then, a new scheme was proposed by combining the optimal coding mechanism with the optimal DNA coding operation. Finally, we revealed the shortcomings of the existing studies and the future direction for improving image encryption methods based on DNA coding.

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“…In addition, some of them ( Dagadu et al, 2019a ; Hossein et al, 2020 ) could not resist CPA. In terms of the DNA operations, dynamic addition operation ( Zhang J. et al, 2016 ) and complement operation ( Belazi et al, 2019 ), and cellular automata operation ( Zhou et al, 2016 ; Chai et al, 2017 ) were proposed. Their encryption effects were better but the algorithms were more complex.…”

Section: Introductionmentioning

confidence: 99%

Medical Image Protection Algorithm Based on Deoxyribonucleic Acid Chain of Dynamic Length

et al. 2021

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Current image encryption algorithms have various deficiencies in effectively protecting medical images with large storage capacity and high pixel correlation. This article proposed a new image protection algorithm based on the deoxyribonucleic acid chain of dynamic length, which achieved image encryption by DNA dynamic coding, generation of DNA dynamic chain, and dynamic operation of row chain and column chain. First, the original image is encoded dynamically according to the binary bit from a pixel, and the DNA sequence matrix is scrambled. Second, DNA sequence matrices are dynamically segmented into DNA chains of different lengths. After that, row and column deletion operation and transposition operation of DNA dynamic chain are carried out, respectively, which made DNA chain matrix double shuffle. Finally, the encrypted image is got after recombining DNA chains of different lengths. The proposed algorithm was tested on a list of medical images. Results showed that the proposed algorithm showed excellent security performance, and it is immune to noise attack, occlusion attack, and all common cryptographic attacks.

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An Image Encryption Scheme Based on DNA Computing and Cellular Automata

Cited by 11 publications

References 21 publications

A Symmetric Key Multiple Color Image Cipher Based on Cellular Automata, Chaos Theory and Image Mixing

A Symmetric Key Multiple Color Image Cipher Based on Cellular Automata, Chaos Theory and Image Mixing

New insights into the existing image encryption algorithms based on DNA coding

Medical Image Protection Algorithm Based on Deoxyribonucleic Acid Chain of Dynamic Length

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