The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Outstanding Reviewers

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • ICONS_BA 2025

Computer Vision Conference (CVC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • RSS Feed

DOI: 10.14569/IJACSA.2024.01506132
PDF

Robust Chaos Image Encryption System using Modification Logistic Map, Gingerbread Man and Arnold Cat Map

Author 1: Lina Jamal Ibrahim
Author 2: John Bush Idoko
Author 3: Almuntadher M. Alwhelat

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 6, 2024.

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

Abstract: In the field of security, the information must be protected from unauthorized use because it contains a great deal of sensitive information especially in images. Image encryption is now recognized as an outstanding strategy for protecting images from attackers. Despite numerous advancements, an efficient image encryption method remains essential to achieve high image security. Therefore, an accurate encryption algorithm requires a formidable random key generator and regeneration abilities. In addition, a new strategy for confusion and diffusion with different processes. To accomplish these objectives, a framework for image encryption with three main phases has been created. Firstly, a new key generator was created with a high level of randomness based on different chaotic maps and the proposed Modification Logistic Map function. Secondly, the confusion phase has been proposed based on sorting the key generator ascending and then permuting the image pixels according to the sorting key. Lastly, the confusion phase has been presented based on generating the Gingerbread Man Method (GGM), Arnold Cat Map (ACM) transform and, XOR between the confused image and Arnold image. The ACM is used to remove flat areas from the image. Various parameters were used to assess the experimental result. In conclusion, it has been confirmed that the suggested picture encryption approach is a solid success in the field of encryption.

Keywords: Arnold cat map; confusion; diffusion; image encryption; modification logistic map

Lina Jamal Ibrahim, John Bush Idoko and Almuntadher M. Alwhelat. “Robust Chaos Image Encryption System using Modification Logistic Map, Gingerbread Man and Arnold Cat Map”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.6 (2024). http://dx.doi.org/10.14569/IJACSA.2024.01506132

@article{Ibrahim2024,
title = {Robust Chaos Image Encryption System using Modification Logistic Map, Gingerbread Man and Arnold Cat Map},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01506132},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01506132},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {6},
author = {Lina Jamal Ibrahim and John Bush Idoko and Almuntadher M. Alwhelat}
}



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.

IJACSA

Upcoming Conferences

Computer Vision Conference (CVC) 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

Artificial Intelligence Conference 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Future Technologies Conference (FTC) 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computer Vision Conference
  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

The Science and Information (SAI) Organization Limited is a company registered in England and Wales under Company Number 8933205.