Neural Network Approach to Image Steganography Techniques

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Neural Network Approach to Image Steganography Techniques

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Neural Network Approach to Image Steganography Techniques

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Mendel 2015, Recent Advances in Soft Computing

ISBN

978-3-319-19823-1

ISSN

2194-5357

e-ISSN

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Počet stran výsledku

11

Strana od-do

317-327

Název nakladatele

Springer International Publishing

Místo vydání

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Místo konání akce

Brno

Datum konání akce

23. 6. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000364847700026