mRNA Approach Image Encryption Using LUC Algorithm

Authors

  • Noor Muneam Abbas Department of Computer Science, University of Technology, Baghdad, Iraq https://orcid.org/0009-0000-5400-8145
  • Matheel E. Abdulmunim Department of Computer Science, University of Technology, Baghdad, Iraq

DOI:

https://doi.org/10.24996/ijs.2023.64.5.37

Keywords:

bioinformatics, mRNA, RNA, Lorenz system, LUC algorithm, Finite Fields

Abstract

      Bioinformatics is one of the computer science and biology sub-subjects concerned with the processes applied to biological data, such as gathering, processing, storing, and analyzing it. Biological data (ribonucleic acid (RNA), deoxyribonucleic acid (DNA), and protein sequences) has many applications and uses in many fields (data security, data segmentation, feature extraction, etc.). DNA sequences are used in the cryptography field, using the properties of biomolecules as the carriers of the data. Messenger RNA (mRNA) is a single strand used to make proteins containing genetic information. The information recorded from DNA also carries messages from DNA to ribosomes in the cytosol. In this paper, a new encryption technique based on (mRNA) amino acids to increase the diffusion of the algorithm was proposed, also using the LUC algorithm with finite field arithmetic to increase the complexity of the algorithm. The results show high resistance against well-known attacks on the proposed method. For Entropy, the achieved value for the encrypted images was above 7.998. The range of peak signal to noise ratio (PSNR) between plain and encrypted images was below 8.7. Finally, the unified average change intensity (UACI) was close to 0.335. The number of changing pixel rates (NPCR) was close to 0.996, which is considered a good result.

Downloads

Published

2023-05-30

Issue

Section

Computer Science

How to Cite

mRNA Approach Image Encryption Using LUC Algorithm. (2023). Iraqi Journal of Science, 64(5), 2545-2560. https://doi.org/10.24996/ijs.2023.64.5.37

Similar Articles

1-10 of 1022

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)