DNA-Level Enhanced Vigenère Encryption for Securing Color Images
Abdelhakim Chemlal, Hassan Tabti, Hamid El Bourakkadi, Rrghout Hicham, Abdellatif Jarjar, Abdellhamid Benazzi · Acadlore Transactions on AI and Machine Learning · 2024
This study presents the development of a novel method for color image encryption, leveraging an enhanced Vigenère algorithm.The conventional Vigenère cipher is augmented with substantial substitution tables derived from widely used chaotic maps in the cryptography domain, including the logistic map and the A.J. map.These enhancements incorporate new confusion and diffusion functions integrated into the substitution tables.Following the Vigenère encryption process, a transition to deoxyribonucleic acid (DNA) notation is implemented, controlled by a pseudo-random crossover matrix.This matrix facilitates a genetic crossover specifically adapted for image encryption.Simulations conducted on a variety of images of diverse formats and sizes demonstrate the robustness of this approach against differential and frequency-based attacks.The substantial size of the encryption key significantly enhances the system's security, providing strong protection against brute-force attacks.