Neural Network Approach to Image Steganography Techniques

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F15%3AA1601EEH" target="_blank" >RIV/61988987:17310/15:A1601EEH - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Neural Network Approach to Image Steganography Techniques

Original language description

Steganography is one of the methods used for the hidden exchange of information and it can be defined as the study of invisible communication that usually deals with the ways of hiding the existence of the communicated message. In this way, if successfully it is achieved, the message does not attract attention from eavesdroppers and attackers. Using steganography, information can be hidden in different embedding mediums, known as carriers. These carriers can be images, audio files, video files, and textfiles. The focus in this paper is on the use of an image file as a carrier. The proposed approach is based on backpropagation neural networks. The essential part of this article aims to verify the proposed approach in an experimental study. Further, contemporary method of application and results are presented in this paper as an example.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Mendel 2015, Recent Advances in Soft Computing

ISBN

978-3-319-19823-1

ISSN

2194-5357

e-ISSN

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Number of pages

11

Pages from-to

317-327

Publisher name

Springer International Publishing

Place of publication

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Event location

Brno

Event date

Jun 23, 2015

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000364847700026