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DOI: 10.14569/IJACSA.2021.0120525
PDF

Ultra-key Space Domain for Image Encryption using Chaos-based Approach with DNA Sequence

Author 1: Ibrahim AlBidewi
Author 2: Nashwan Alromema

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 5, 2021.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Recently, image encryption has taken an importance especially after the dramatic evolution of the internet and network communication. The importance of securing the images contents is due to the simplicity of capturing and transferring of digital images in various communication media. Although there are many approaches for image encryptions, chaos-based image encryption approach is considered one of the most appropriate approaches because of its simplicity, security, and sensitivity to the input parameter. This research paper presents a new technique for encrypting RGB image components using nonlinear chaotic function and DNA sequence. A new image with the same dimensions of the plain-image is used as a key for confusions and diffusion process for each RGB components of plain-image. Experimental results show the efficiency of the proposed technique, simplicity, and high level of resistant against several cryptanalyst.

Keywords: Chaos-based; image encryption; confusion; diffusion; color image; RGB components; DNA sequence

Ibrahim AlBidewi and Nashwan Alromema, “Ultra-key Space Domain for Image Encryption using Chaos-based Approach with DNA Sequence” International Journal of Advanced Computer Science and Applications(IJACSA), 12(5), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120525

@article{AlBidewi2021,
title = {Ultra-key Space Domain for Image Encryption using Chaos-based Approach with DNA Sequence},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120525},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120525},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {5},
author = {Ibrahim AlBidewi and Nashwan Alromema}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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