big S-Boxes for Deeply Improved Hill Image Coding

Abid Abdellah (Mohamed First University, MATSI Laboratory)
Hicham Rrghout (Mohamed First University, MATSI Laboratory)
Mourad Kattass (Mohamed First University, MATSI Laboratory)
Abdellatif Jarjar (Mohamed First University, MATSI Laboratory)
Abdellhamid Benazzi (Mohamed First University, MATSI Laboratory)

International Journal of Advanced Science and Computer Applications
Vol. 3 No. 1 (2024): March 2024

This paper introduces a novel approach to encrypt color images, utilizing multiple chaotic maps and working with any size pixel blocks. The encryption procedure commences by converting the original image into a vector, which is then divided into equal dimension subblocks. These blocks undergo a new Vigenère transformation, employing two large dynamic substitution tables interconnected by an enhanced Hill operation using a large invertible matrix generated from a pseudo-random table, controlled by another binary dynamics table. Additionally, the truncated block undergoes the same encryption process using another pseudo-random invertible matrix. To evaluate the effectiveness and resilience of our algorithm, we conducted numerous simulations on randomly selected images of varying sizes and formats from diverse databases.