A Fast Enhanced Medical Image Encryption scheme Based on 2D-Chaotic Map and Improved Zigzag confusion

  • elhadi Mehallel LABCAV advanced control laboratory, Faculty of Science and Technology, Université 8 mai 1945, BP 401, Guelma 24000, Algeria. https://orcid.org/0000-0001-7488-162X
  • Ammar Bouchemel LABCAV advanced control laboratory, Faculty of Science and Technology, Université 8 mai 1945, BP 401, Guelma 24000, Algeria. https://orcid.org/0000-0002-2861-4819
  • Abdelaziz Rebahi Laboratory of Telecommunication and Smart Systems (LTSS), Faculty of Science and Technology University of Djelfa, PO Box 3117, Djelfa 17000 Algeria. http://orcid.org/0000-0001-8684-4754

Abstract

The rapid growth of telecommunication systems has increased the need for the secure transmission of data images in the telemedicine context, ensuring confidentiality and reliability. Chaotic image cryptography, known for its ergodicity and sensitivity to initial conditions, is a robust solution against attacks on medical data in unsecured networks. This paper introduces a chaotic image encryption scheme utilizing the 2D-logistic sine-coupling map (2D-LSCM) to enhance the reliability and security level of medical encrypted images. 2D-LSCM has been used to generate chaotic matrices for achieving confusion and diffusion processes. In the confusion step, a variety of permutation operations are utilized, such as improved 2D zigzag transform, magic confusion, pixel confusion, and image rotation. We use also a pixel diffusion based on modulo arithmetic. Several simulations were carried out to prove the reliability and robustness of the proposed algorithm in protecting medical images. Additionally, we evaluate the system's performance and security, comparing it to other well-known chaos-based encryption schemes. The results obtained in the simulation demonstrated the high security of the cryptosystem, therefore our system can effectively secure multiple medical image formats and resist different security attacks.

Downloads

Download data is not yet available.
Published
2025-04-25
How to Cite
Mehallel, elhadi, Bouchemel, A., & Rebahi, A. (2025). A Fast Enhanced Medical Image Encryption scheme Based on 2D-Chaotic Map and Improved Zigzag confusion. ITEGAM-JETIA, 11(52), 205-219. https://doi.org/10.5935/jetia.v11i52.1628
Section
Articles