Dynamic RNA Coding Color Image Cipher Based on Chain Feedback Structure

Wen, Heping; Kang, S. H.; Wu, Zhuxi; Lin, Yiting; Huang, Yufei

doi:10.3390/math11143133

Cited by 17 publications

(7 citation statements)

References 44 publications

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“…Consequently, the utilization of image encryption techniques can effectively prevent the leakage of critical data during transmission 10 – 12 . Several encryption methods have been proposed to address this challenge, including thumbnail-preserving encryption 13 – 15 , biometric encoding 16 – 18 , Frequency domain encryption 19 , 20 , bit-plane encryption 21 – 23 , Fourier transformation 24 – 26 , and chaos theory 27 – 29 , among others 30 , 31 . In particular, chaotic algorithms have gained widespread acceptance in image encryption due to their unpredictability, pseudo-randomness, and high sensitivity to initial values 32 – 35 .…”

Section: Introductionmentioning

confidence: 99%

Exploiting high-quality reconstruction image encryption strategy by optimized orthogonal compressive sensing

Wen,

Yang,

Bai

et al. 2024

Sci Rep

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Compressive sensing is favored because it breaks through the constraints of Nyquist sampling law in signal reconstruction. However, the security defects of joint compression encryption and the problem of low quality of reconstructed image restoration need to be solved urgently. In view of this, this paper proposes a compressive sensing image encryption scheme based on optimized orthogonal measurement matrix. Utilizing a combination of DWT and OMP, along with chaos, the proposed scheme achieves high-security image encryption and superior quality in decryption reconstruction. Firstly, the orthogonal optimization method is used to improve the chaotic measurement matrix. Combined with Part Hadamard matrix, the measurement matrix with strong orthogonal characteristics is constructed by Kronecker product. Secondly, the original image is sparsely represented by DWT. Meanwhile, Arnold scrambling is used to disturb the correlation between its adjacent pixels. Following this, the image is compressed and measured in accordance with the principles of compressive sensing and obtain the intermediate image to be encrypted. Finally, the chaotic sequence generated based on 2D-LSCM is used to perform on odd-even interleaved diffusion and row-column permutation at bit-level to obtain the final ciphertext. The experimental results show that this scheme meets the cryptographic requirements of obfuscation, diffusion and avalanche effects, and also has a large key space, which is sufficient to resist brute-force cracking attacks. Based on the sparse and reconstruction algorithm of compressive sensing proposed in this paper, it has better image restoration quality than similar algorithms. Consequently, the compressive sensing image encryption scheme enhances both security and reconstruction quality, presenting promising applications in the evolving landscape of privacy protection for network big data.

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Section: Introductionmentioning

confidence: 99%

Exploiting high-quality reconstruction image encryption strategy by optimized orthogonal compressive sensing

Wen,

Yang,

Bai

et al. 2024

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…The detailed solution of this problem certainly has considerable implications, both from a practical viewpoint and from the concept we have regarding the structure of the genetic information encoded in DNA. New horizons in encryption algorithms suggest the use of RNA dynamic for decoding and coding [12,13]. Although these implementations do not currently seem to be closely related to the object of this work, they may serve as a point of reference for future investigations.…”

Section: Discussionmentioning

confidence: 99%

A Dynamic Representation of mRNA Nucleotides Clarifies the Conundrum of Codon Redundancy

Funaro

2023

Biophysica

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The deciphering of the genetic code takes place through the reading of the nitrogenous bases, which are four in number. In most cases, the bases are taken three by three, thus generating 64 possible combinations with repetition. Each combination (codon) allows for the synthesis of a specific amino acid. Since the latter are only 21 in number, the codon-amino acid conversion table shows a strong redundancy. Countless efforts have been made to understand the true encryption mechanism. Here, we want to add our version, which consists of associating a periodic sound based on three notes to each codon. RNA now becomes a dynamic object and not just a list of static instructions. In addition to a different interpretation of the genetic code, there is also a considerable reduction in redundancy, given that the number of periodic sounds that can be produced with three notes drops to 20 (with the addition of four pure frequencies). Finally, we discuss the possibility of how these sounds can be generated and travel inside the double helix, and possibly emitted as biophotons.

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“…Subsequently, the correlation is computed over the previously selected adjacent pixels. These pixels are considered in the horizontal, vertical, and diagonal directions [36]. With this information, Equation (3) is employed to calculate the correlation.…”

Section: Correlation Coefficientmentioning

confidence: 99%

A Hybrid Cryptosystem Incorporating a New Algorithm for Improved Entropy

Silva-García,

Flores-Carapia,

Cardona-López

2024

Entropy

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Today, safeguarding sensitive content through encryption is crucial. This work presents a hybrid cryptosystem for images that employs both asymmetric and symmetric encryption. The asymmetric component involves applying the Diffie–Hellman protocol and the ElGamal cryptosystem to securely transmit two constants. These constants are necessary for the symmetrical aspect to generate dynamic permutations, substitution boxes, and round keys. Following an encryption process with fourteen rounds, the encrypted images are processed by an algorithm proposed to enhance entropy, a critical metric for assessing encryption quality. It increases the frequencies of the basic colors to achieve a histogram closely resembling a uniform distribution, but it increases the image size by approximately 8%. This improves the entropy values achieved by the hybrid cryptosystem, bringing them remarkably close to the ideal value of 8.0. In specific instances, the entropy values were elevated from 7.99926 to 8.0. The proposed method exhibits resilience against various attacks, including differential, linear, brute force, and algebraic attacks, as evaluated through the entropy, correlation, goodness of fit, Discrete Fourier Transform (DFT), Number of Pixels Change Rate (NPCR), Unified Average Changing Intensity (UACI), Avalanche Criteria (AC), contrast, energy, and homogeneity. Further, encrypted images are subjected to noise attacks ranging from 20% to 50% noise, including additive, multiplicative, occlusion noise, as well as the newly introduced χ2 noise. The noise damage is quantified using the proposed Similarity Parameter (SP), and a 3×3 median filter is employed to enhance the visual quality.

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Dynamic RNA Coding Color Image Cipher Based on Chain Feedback Structure

Cited by 17 publications

References 44 publications

Exploiting high-quality reconstruction image encryption strategy by optimized orthogonal compressive sensing

Exploiting high-quality reconstruction image encryption strategy by optimized orthogonal compressive sensing

A Dynamic Representation of mRNA Nucleotides Clarifies the Conundrum of Codon Redundancy

A Hybrid Cryptosystem Incorporating a New Algorithm for Improved Entropy

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