Steganography Approach to Image Authentication Using Pulse Coupled Neural Network

This paper introduces a model for the authentication of large-scale images. The crucial element proposed is optimized Pulse Coupled Neural Network. neural network generates position matrices based on which embedding data into cover images applied. Emphasis placed minimalization stego image entropy change. Stego consequently compared with reference image. security suggested solution granted by weights initialized steganographic key and encryption accompanying using AES-256 algorithm. integrity verified through SHA-256 hash function. integration directly large are main contributions work.