CNN based Image Steganography Techniques: A Cutting Edge/State of Art Review

Abstract

Data security is essential for information distribution in the world of information and communication tools today. Data concealing has grown more and more important with the rise of intense multimedia sharing and secret discussions. Steganography is a method of obscuring data in a way that makes it nearly impossible to find. According to a recent study, when the networks between the layers closest to the input and those closest to the output are thinner, convolutional neural networks can become noticeably deeper, more precise, and easier to train. The fundamental drawback of R-CNN, which was previously utilized in place of CNN, is that it adds the characteristics while CNN is used to concatenate them.