Enhancing 2D Logistic Chaotic Map for Gray Image Encryption

Cryptography has demonstrated its utility and efficacy in safeguarding confidential data. Among the most potent algorithms for encrypting images is chaos theory, owing to its numerous noteworthy attributes, including high sensitivity to initial conditions and parameters, unpredictability, and nonlinearity. This study employed a two-dimensional logistic chaotic map to encrypt the data. The map utilizes permutation-substitution in the image to ensure both confusion and diffusion, thereby establishing a secure cipher. As measured by UACI and NPCR, this method enables immovability against differential attacks. The assessment of cipher image quality in the USC-SIPI image database involves the utilization of information entropy tests, key space, key sensitivity, APCC, UACI, and NPCR assessments, as determined by experimental findings on test images.