Image Steganography Using CNN

EasyChair Preprint 10240

Abstract

The main factors that led me to choose steganography from the list of potential project ideas were my lack of acquaintance with it and my interest in it. It also guarantees data security, which is another defence. Even if a hacker (or intruder) succeeds in infiltrating and acquiring access to our system, they won't be able to access our information; that is, even if the intruder has access to our image files. The attraction is greatly enhanced by this feature. The goal of the project is to teach text steganography through the use of visuals. Image steganography is utilised for images, and the necessary information is decrypted to obtain the message image. Because there are many different ways to employ image steganography, research is done on it, and one of the techniques is used to demonstrate it. The practice of steganography involves hiding information, such as text, images, or audio files, within another picture or video file. Simply said, the main objective of steganography is to hide the needed information within any image, audio, or video that is not immediately obvious to be hidden. The foundation of image-based steganography is a simple idea. Digital information (pixels) that defines the contents of an image, typically the colours of all the pixels, makes up an image. Given that we are aware that each pixel in an image contains three values (red, green, blue). Intruders won't be able to see the image we are trying to hide because it will be completely absorbed by the cover image.

Keyphrases: CNN, Image Steganography, Steganography, deep learning

@booklet{EasyChair:10240,
  author    = {Ritweek Raj and Aayush Gupta and Siva G Shanmugam},
  title     = {Image Steganography Using CNN},
  howpublished = {EasyChair Preprint 10240},
  year      = {EasyChair, 2023}}