Image encryption algorithm based on dynamic DNA coding operations and 3D chaotic systems

Telem, Adélaïde Nicole Kengnou; Fotsin, Hilaire Bertrand; Kengne, Jacques

doi:10.1007/s11042-021-10549-0

Cited by 37 publications

(11 citation statements)

References 52 publications

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“…Compared with the correlation coefficient of the medical image in Table 14 , the correlation coefficient of the encrypted image obtained by this algorithm is slightly lower than the [ 47 , 48 ], and slightly higher than the [ 49 ]. Compared with the correlation coefficient of ordinary images in Table 15 , the correlation coefficient of the encrypted image obtained by this algorithm is slightly lower than that of [ 1 ], and slightly higher than that of [ 33 , 54 ]. It shows that the algorithm can effectively reduce the correlation between adjacent pixels.…”

Section: Simulation Results and Security Analysismentioning

confidence: 79%

“…In recent years, with the rapid development of the Internet, the rapid expansion of information, a large amount of information is transmitted in public channels, and the issue of information security is followed by [ 1 – 3 ]. There are many kinds of information data, such as text, language, pictures, videos, etc., among which pictures are the most widely used in information transmission [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

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Medical image encryption algorithm based on a new five-dimensional three-leaf chaotic system and genetic operation

et al. 2021

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Current image encryption methods have many shortcomings for the medical image encryption with high resolution, strong correlation and large storage space, and it is difficult to obtain reliable clinically applicable medical images. Therefore, this paper proposes a medical image encryption algorithm based on a new five-dimensional three-leaf chaotic system and genetic operation. And the dynamic analysis of the phase diagram and bifurcation diagram of the five-dimensional three-leaf chaotic system selected in this paper is carried out, and NIST is used to test the randomness of its chaotic sequence. This algorithm follows the diffusion-scrambling framework, especially using the principle of DNA recombination combined with the five-dimensional three-leaf chaotic system to generate a chaotic matrix that participates in the operation. The bit-level DNA mutation operation is introduced in the diffusion, and the scrambling and diffusion effects have been further improved. Algorithm security and randomness have been enhanced. This paper evaluates the efficiency of this algorithm for medical image encryption in terms of security analysis and time performance. Security analysis is carried out from key space, information entropy, histogram, similarity between decrypted image and original image, PSNR, correlation, sensitivity, noise attack, cropping attack and so on. Perform time efficiency analysis from the perspective of time performance. The comparison between this algorithm and the experimental results obtained by some of the latest medical image encryption algorithms shows that this algorithm is superior to the existing medical image encryption algorithms to a certain extent in terms of security and time efficiency.

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Section: Simulation Results and Security Analysismentioning

confidence: 79%

Section: Introductionmentioning

confidence: 99%

Medical image encryption algorithm based on a new five-dimensional three-leaf chaotic system and genetic operation

et al. 2021

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“…Apart from 1D chaotic systems, a 3D chaotic system has also been used with DNA coding in [23]. The presented encryption scheme utilizes all 24 rules of DNA coding with 16 joint operations that make this scheme resistant to several attacks and an excellent scheme for securing digital images.…”

Section: Related Workmentioning

confidence: 99%

A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder

Ahmed

Rehman

Ahmad

et al. 2023

ACM Trans. Multimedia Comput. Commun. Appl.

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With the advancement in technology, digital images can easily be transmitted and stored over the Internet. Encryption is used to avoid illegal interception of digital images. Encrypting large-sized colour images in their original dimension generally results in low encryption/decryption speed along with exerting a burden on the limited bandwidth of the transmission channel. To address the aforementioned issues, a new encryption scheme for colour images employing convolutional autoencoder, DNA and chaos is presented in this paper. The proposed scheme has two main modules, the dimensionality conversion module using the proposed convolutional autoencoder, and the encryption/decryption module using DNA and chaos. The dimension of the input colour image is first reduced from N × M × 3 to P × Q gray-scale image using the encoder. Encryption and decryption are then performed in the reduced dimension space. The decrypted gray-scale image is upsampled to obtain the original colour image having dimension N × M × 3. The training and validation accuracy of the proposed autoencoder is 97% and 95%, respectively. Once the autoencoder is trained, it can be used to reduce and subsequently increase the dimension of any arbitrary input colour image. The efficacy of the designed autoencoder has been demonstrated by the successful reconstruction of the compressed image into the original colour image with negligible perceptual distortion. The second major contribution presented in this paper is an image encryption scheme using DNA along with multiple chaotic sequences and substitution boxes. The security of the proposed image encryption algorithm has been gauged using several evaluation parameters, such as histogram of the cipher image, entropy, NPCR, UACI, key sensitivity, contrast, etc. The experimental results of the proposed scheme demonstrate its effectiveness to perform colour image encryption.

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“…A linear congruence generator constructed from the table is for example The construction of the S-Boxes [19][20] requires the computation of some permutations in (𝑮 𝑡 ). the construction of such permutations will be defined by the following method:…”

Section: The Third Line Will Contain the Values Of The Parameter (𝑏 =...mentioning

confidence: 99%

Image Encryption Using a Reworked Vigenere Network That Incorporates Bitwise Genetic Crossover

Abid¹,

Qobbi²,

Kaddouhi

et al. 2023

Preprint

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The pixel of an image is always thought of as being the most important component in the encryption process. We will concentrate at the bit level, regarding it as the crucial aspect of encryption, by using novel dynamic replacement functions, strong diffusion functions, and pseudo-random substitution tables-built data from multiple randomly generated pseudo-random linear congruence generators. technical. This new technology makes our system more vulnerable to all potential attacks. The vector that was converted to binary at the Vigenere circuit's output will go through a genetic crossing that is optimized for the encryption of color images. The simulations made use of a sizable number of randomly selected images from databases.

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Image encryption algorithm based on dynamic DNA coding operations and 3D chaotic systems

Cited by 37 publications

References 52 publications

Medical image encryption algorithm based on a new five-dimensional three-leaf chaotic system and genetic operation

Medical image encryption algorithm based on a new five-dimensional three-leaf chaotic system and genetic operation

A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder

Image Encryption Using a Reworked Vigenere Network That Incorporates Bitwise Genetic Crossover

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