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DOI: 10.14569/IJACSA.2021.0120750
PDF

Image Encryption Enabling Chaotic Ergodicity with Logistic and Sine Map

Author 1: Mohammad Ahmar Khan
Author 2: Jalaluddin Khan
Author 3: Abdulrahman Abdullah Alghamdi
Author 4: Sarah Mohammed Awadh Bait Saidan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 7, 2021.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Chaotic systems with complicated characteristics of ergodicity, impredictability as well as sensitivity to beginning stages are commonly utilized in the world of cryptography. A 2D logistic-adjusted-sine (LS) map is implemented in this article. Performance assessments reveal superior ergodicity as well as unpredictable and even a broader spectrum of chaotics than numerous previous chaotic maps. This research also develops a 2D-LS-based image encryption system and proposed LS-IES. The notion of diffusion as well as confusion is properly complied with enabled encryption functions. Research outcomes as well as security analyses demonstrate that LS-IES can swiftly encrypting different parameters in various images with a great resistance towards security threats.

Keywords: Image encryption; ergodicity; logistic sine map; security; privacy

Mohammad Ahmar Khan, Jalaluddin Khan, Abdulrahman Abdullah Alghamdi and Sarah Mohammed Awadh Bait Saidan, “Image Encryption Enabling Chaotic Ergodicity with Logistic and Sine Map” International Journal of Advanced Computer Science and Applications(IJACSA), 12(7), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120750

@article{Khan2021,
title = {Image Encryption Enabling Chaotic Ergodicity with Logistic and Sine Map},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120750},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120750},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {7},
author = {Mohammad Ahmar Khan and Jalaluddin Khan and Abdulrahman Abdullah Alghamdi and Sarah Mohammed Awadh Bait Saidan}
}



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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