Hybrid Image Steganography Algorithm Security Enhancements for High-Quality Image Transactions

Steganography is a technique for concealing a secret (coded) message within a regular communication. The goal of steganography is to keep information hidden while both the sender and the receiver share it. Steganography and cryptography are inextricably linked; cryptography scatters the message so that it cannot be understood, but steganography conceals the message's existence. The seed values are used in such a way that the IMAGE QUALITY, as measured by PSNR, improves but the data within the image stays protected. The procedure is as follows: a pseudo-random number generator generates a sequence of random numbers using an arbitrary seed. The cover image is then divided into dynamic-size chunks. Using this sequence, a route is formed, and the secret data is placed in the LSB of the pixels along this path. In this study, we used Discrete Wavelet Transformation to develop the frequency domain approach and DNN to do classification to discover the LSBs in the input image. To improve security, it employs the ECC technique for encryption. Following that, the encryption method used in the imaging system classifies the secure information. To compare the existing algorithm and evaluate performance metrics such as peak signal to noise ratio, Structure Similarity Index Measure, and Decryption time factor in order to obtain this outcome.