UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404A60


Registration ID:
537838

Page Number

k447-k459

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Title

Deep steganography using CNN and Machine Learning Techniques

Abstract

From the list of possible project ideas, steganography was chosen mostly due to the novelty and interest in the subject. One more thing is that it makes sure your data is safe. The security of our information is so well-designed that no one, not even a hacker or intruder who gains access to our system, will be able to access our data, information, or image files. The art of steganography involves hiding data, such as images, audio files, or text, inside another file type. A fundamental idea underpins image-based steganography. The contents of a picture typically the colors of each pixel are defined by the digital data (pixels) that comprise the image. Because we know that there are three values red, green, and blue—for every pixel in a picture. The plan is for the cover picture to completely engulf the one we wish to hide, rendering it invisible to anybody looking in from outside. Creating a sophisticated deep steganography model that can embed one picture (the secret image) into another (the cover image) with little detectability is the main objective of this project. At its core, this goal is to optimize the balance between embedding capacity and visual quality. By incorporating machine learning algorithms, which dynamically adjust the payload based on cover image characteristics, this research not only tackles current information security challenges but also paves the way for a more resilient and adaptable method of protecting sensitive data in the digital age.

Key Words

Deep Learning, Image Processing, Image Hiding, CNN, RNN, Loss-Function, Steganalysis

Cite This Article

"Deep steganography using CNN and Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.k447-k459, April-2024, Available :http://www.jetir.org/papers/JETIR2404A60.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Deep steganography using CNN and Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppk447-k459, April-2024, Available at : http://www.jetir.org/papers/JETIR2404A60.pdf

Publication Details

Published Paper ID: JETIR2404A60
Registration ID: 537838
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: k447-k459
Country: Ahemdabad, Gujrat, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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