Using deep learning for the automatic detection of input in the Steganographic process

Volume 20 No 6 (2022)

Ayushi Chaudhary,Prof. Ashish Sharma,Dr. Neeraj Gupta

DOI: 10.14704/nq.2022.20.6.NQ22043

Abstract

Steganography is a new field that allows for secure data transmission over public networks.Steganography is the process of concealing a message in a suitable carrier, such as an image or sound, or video. It is originated from a Greek word that means “hidden or concealed composing”.The carrier can be conveyed to a receiver without the intervention of a third party. The input category for a steganography process can be audio, video, or image

Keywords

Steganography process, deep learning algorithm, CNN, RNN, and LSTM

Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.