This article presents an improvement to the traditional Vigenere encryption method, specifically adapted for the encryption of color images. This enhancement relies on the use of two chaotic maps widely employed in the field of cryptography. After vectorizing the original image and calculating the initialization value, which alters the seeding pixel to trigger the encryption process, our approach integrates two new large substitution tables. These tables are linked to confusion and diffusion functions, incorporating multiple reversible pseudo-random affine functions at the pixel level. Finally, a global permutation is applied to the entire resulting vector to increase the temporal complexity of potential attacks on our system. Simulations conducted on a diverse set of images of various sizes and formats demonstrate the resilience of our approach against any unexpected attacks.

This paper presents an improved method for encrypting color images, surpassing the effectiveness of genetic crossover and substitution operations. The technique incorporates dynamic random functions to enhance the integrity of the resulting vector, increasing temporal complexity to thwart potential attacks. The improvement involves integrating genetic crossover and utilizing two extensive pseudorandom replacement tables derived from established chaotic maps in cryptography. Following the controlled vectorization of the original image, our approach initiates with a first genetic crossover inspired by deoxyribonucleic acid (DNA) behavior at the pixel level. This genetic crossover is succeeded by a confusion-diffusion lap, reinforcing the connection between encrypted pixels and their neighboring counterparts. The confusion-diffusion process employs dynamic pseudorandom affine functions at the pixel level. Then a second genetic crossover operator is applied. Simulations conducted on a diverse set of images with varying sizes and formats showcase the robustness of our method against statistical, brute-force, and differential attacks.

The present research will propose an innovative technique for pixel-level encryption of color images. After isolating the R, G, and B channels and converting them into vector mode, an enhanced Feistel network will be applied at the hexadecimal level, facilitated by integrating a substitution table generated from the employed chaotic maps. This is followed by a binary conversion and a shift ensured by pseudo-random vectors. A diffusion function is applied, incorporating another replacement matrix constructed from commonly used chaotic maps in cryptography. This operation links the cipher pixel to the next pixel, thereby reinforcing the avalanche effect and safeguarding the system against any differential attacks. Simulations conducted using our new system on various color images, arbitrarily selected from multiple databases, have yielded satisfactory and highly promising results.