Hyper-Chaotic Color Image Encryption Based on Transformed Zigzag Diffusion and RNA Operation

Zhang, Duzhong; Chen, Lexing; Li, Taiyong

doi:10.3390/e23030361

Cited by 37 publications

(15 citation statements)

References 49 publications

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“…For example, various proposals that meet the confusion and diffusion requirements in the encryption process of an image using only chaotic permutations are some of the widely accepted design types [38][39][40][41][42][43]. Using the DNA encoding and shuffling approach in addition to chaotic permutations is another common type of alternative design [44][45][46][47][48]. Design types based on chaotic permutations are generally included in the classification known as secret key (symmetric) cryptography.…”

Section: Analysis Of Proposed Architecturementioning

confidence: 99%

SIEA: Secure Image Encryption Algorithm Based on Chaotic Systems Optimization Algorithms and PUFs

Muhammad

Özkaynak

2021

Symmetry

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One of the general problems in modern digital society is undoubtedly the information security topic. It is critical to ensure the security of information transferred, processed, and stored throughout digital channels. Among this information, digital images draw attention in terms of frequency of use in digital channels. In this study, a new image encryption algorithm is proposed to address the security problems of digital images. The aspect that differentiates the proposed algorithm from thousands of image encryption algorithms in the literature is that it is designed within the framework of the provable security design principle. The provable security design approach has ensured that the proposed algorithm is theoretically secure with mathematical proof techniques. In addition to addressing the proposed architecture security concerns, the hybrid random number generator used as the key generator constitutes another unique aspect. This generator, which was designed using chaotic systems, physical unclonable functions, and optimization algorithms, stands out as the innovative aspect of the study. The statistical randomness properties of the proposed random number generator were tested using the NIST SP 800-22 Statistical Test Suite. Successful results were obtained for 15 tests in the test package. In addition, the success of these outputs was tested on a new image encryption algorithm. The security of the proposed algorithm was tested from different angles using various experimental analyzes and a 12-step provable security analysis roadmap. Successful analysis results and performance measurements indicate that the proposed cryptographic components can be used in many information security applications and many future designs.

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Section: Analysis Of Proposed Architecturementioning

confidence: 99%

SIEA: Secure Image Encryption Algorithm Based on Chaotic Systems Optimization Algorithms and PUFs

Muhammad

Özkaynak

2021

Symmetry

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“…Jarjar et al [47] presented a method that uses several genetic and biological features of DNA and RNA to encrypt color images and model mathematical problems as biological ones. Zhang et al [48] proposed an image cryptosystem based on hyperchaotic system and RNA operation, which could resist various attacks. However, all the researches above are based on the RNA encoding/decoding law; the calculation results between the RNA bases are easy to predict, increasing the risk of cracking.…”

Section: Introductionmentioning

confidence: 99%

A Novel 3D Image Encryption Based on the Chaotic System and RNA Crossover and Mutation

Chu

Zhang

Gao³

2022

Front. Phys.

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In this paper, a novel 3D image encryption based on the memristive chaotic system and RNA crossover and mutation is proposed. Firstly, the dynamic characteristics of the nonlinear system with two memristors are analyzed, including phase diagrams, Lyapunov exponential spectrums, and bifurcation diagrams. According to the merged image of three 3D images, the initial values of the memristive chaotic system are generated by SHA-256. Then the vertex coordinates are scrambled and diffused by 3D Arnold matrix and chaotic sequences. Finally, according to the dynamical encoding and decoding rules, crossover and RNA mutation are designed to confuse and diffuse the vertex coordinates. Throughout the encryption process, the Arnold matrix, RNA encoding and decoding rules, and crossover and mutation algorithms are determined by the memristive chaotic system. The experimental results verify that the proposed cryptosystem could encrypt three 3D images at the same time and resist various attacks effectively, and has good security performance.

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“…Because images contain a lot of information with intuitive visual effects, they have gradually become an important information carrier in social interactions [1][2][3][4]. At the same time, images also play an important role in the fields of medicine, military, and aerospace [5][6][7][8][9]. However, while technology brings convenience to people, it also brings some risks.…”

Section: Introductionmentioning

confidence: 99%

Bit‐level image encryption algorithm based on fully‐connected‐like network and random modification of edge pixels

Sheng

et al. 2022

IET Image Processing

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A bit-level image encryption algorithm based on Fully-Connected-Like network(FCLN) and random modification of edge pixels is proposed. In the paper, in order to enhance the security of the cryptographic system, random noise is first used to modify the least significant bits of the edge pixels of the image, and the modified image is used as the input image. Later,the chaotic sequence is used to perform cyclic shift transformation on the image. In the subsequent steps, the FCLN is generated based on a fully connected neural network, which can perform scrambling and diffusion operations on the input image. Finally, the bidirectional diffusion method is used to diffuse the image forward and backward. In addition, the image after the edge pixel modification is convolved with the chaotic sequence, and the initial value of the chaotic system is set by the result to establish the correlation between the plain image and the algorithm, which makes the algorithm resistant to known/chosen plaintext attack. Experimental results show that although the image is modified by random noise, the decrypted image is visually the same as the original image. At the same time, through the analysis of common attacks such as differential attacks, noise attacks, and data loss attacks, our algorithm shows high security.

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Hyper-Chaotic Color Image Encryption Based on Transformed Zigzag Diffusion and RNA Operation

Cited by 37 publications

References 49 publications

SIEA: Secure Image Encryption Algorithm Based on Chaotic Systems Optimization Algorithms and PUFs

SIEA: Secure Image Encryption Algorithm Based on Chaotic Systems Optimization Algorithms and PUFs

A Novel 3D Image Encryption Based on the Chaotic System and RNA Crossover and Mutation

Bit‐level image encryption algorithm based on fully‐connected‐like network and random modification of edge pixels

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