Chaotic evolutionary-based image encryption using RNA codons and amino acid truth table

Abbasi, Ali; Mazinani, Mahdi; Hosseini, Rahil

doi:10.1016/j.optlastec.2020.106465

Cited by 36 publications

(17 citation statements)

References 23 publications

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“…In between there are alternating periodic states and chaotic states appearing. When n∈(0.13,0.2) and p∈ (2,25), the changes of Lyapunov exponent spectrum and bifurcation diagram are also consistent. It can be known that the dynamical characteristics of the fractional-order chaotic system is variegated so that the proposed chaotic system is suitable for cryptosystem [25,44,45].…”

Section: Chaotic Systemsupporting

confidence: 54%

“…From the Table 5, the results are closed to theoretical expectations and it will get an almost completely different image if the gray value of the image is changed slightly. Moreover, we list the average values of NPCR and UACI in other literature which is shown in Table 6 [6,2,51,9]. Results indicate that our algorithm can resist differential attack effectively.…”

Section: Differential Attackmentioning

confidence: 96%

“…3 so that we can study the sensitivity of the system with the varying parameter. We severally fix q∈(0.5,1), n∈(0.13,0.2), p∈ (2,25) and other parameters are set as above. The fifth Lyapunov exponent is not shown in Fig.…”

Section: Chaotic Systemmentioning

confidence: 99%

“…Chaotic systems are widely used in image encryption and have become a hot research topic in the field of secure communication because of their sensitivity to initial values and irregular internal random motion in deterministic systems [22,20,6,27,31,42,30,46,40]. Compared with ordinary chaotic systems, hyperchaotic systems have more complex dynamics and greater sensitivity and are more suitable for image encryption [2,5,47,3,25,50]. The fractional-order chaotic system is also more secure because the key space is increased by adding system variables [10,4,21,26,35,51].…”

Section: Introductionmentioning

confidence: 99%

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A New Image Encryption Scheme based on Fractional-order Hyperchaotic System and Multiple Image Fusion

Gao

Yan

et al. 2021

Preprint

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A multi-image encryption scheme based on the fractional-order hyperchaotic system is designed in this paper. The chaotic characteristics of this system are analyzed by the phase diagram, Lyapunov exponent and bifurcation diagram. According to the analyses results, an interesting image encryption algorithm is proposed. Multiple grayscale images are fused into a color image using different channels. Then, the color image is scrambled and diffused in order to obtain a more secure cipher image. The pixel confusion operation and diffusion operation are assisted by fractional hyperchaotic system. Experimental simulation and test results indicate that the devised multi-image encryption scheme can effectively encrypt multiple images, which increase the efficiency of image encryption and transmission, and have good security performance.

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Section: Chaotic Systemsupporting

confidence: 54%

Section: Differential Attackmentioning

confidence: 96%

Section: Chaotic Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A New Image Encryption Scheme based on Fractional-order Hyperchaotic System and Multiple Image Fusion

Gao

Yan

et al. 2021

Preprint

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“…In [ 33 ], Mahmud et al presented an image encryption method by combining RNA with Genetic Algorithm (GA) through using a logistic map. In [ 34 ], Abbasi et al employed Chen’s chaotic system to encrypt an image with imperialist competition algorithm and RNA operations. Yadollahi et al utilized the concepts of DNA and RNA to construct a two-phase image encryption method [ 35 ].…”

Section: Introductionmentioning

confidence: 99%

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

Zhang

Chen

2021

Entropy

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With increasing utilization of digital multimedia and the Internet, protection on this digital information from cracks has become a hot topic in the communication field. As a path for protecting digital visual information, image encryption plays a crucial role in modern society. In this paper, a novel six-dimensional (6D) hyper-chaotic encryption scheme with three-dimensional (3D) transformed Zigzag diffusion and RNA operation (HCZRNA) is proposed for color images. For this HCZRNA scheme, four phases are included. First, three pseudo-random matrices are generated from the 6D hyper-chaotic system. Second, plaintext color image would be permuted by using the first pseudo-random matrix to convert to an initial cipher image. Third, the initial cipher image is placed on cube for 3D transformed Zigzag diffusion using the second pseudo-random matrix. Finally, the diffused image is converted to RNA codons array and updated through RNA codons tables, which are generated by codons and the third pseudo-random matrix. After four phases, a cipher image is obtained, and the experimental results show that HCZRNA has high resistance against well-known attacks and it is superior to other schemes.

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A new chaotic image encryption algorithm based on dynamic DNA coding and RNA computing

et al. 2023

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Chaotic evolutionary-based image encryption using RNA codons and amino acid truth table

Cited by 36 publications

References 23 publications

A New Image Encryption Scheme based on Fractional-order Hyperchaotic System and Multiple Image Fusion

A New Image Encryption Scheme based on Fractional-order Hyperchaotic System and Multiple Image Fusion

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

A new chaotic image encryption algorithm based on dynamic DNA coding and RNA computing

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