Steganography based on neural networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F14%3AA1501BBG" target="_blank" >RIV/61988987:17310/14:A1501BBG - 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

Steganography based on neural networks

Popis výsledku v původním jazyce

: In the paper, we present an approach for identifying the stego-key in key-dependent steganographic schemes. The proposed approach is based on backpropagation neural networks and deals with the image histogram modifications associated with weight configurations of adapted neural networks. The image histogram is the type of histogram acting as a graphical representation of the tonal distribution in a digital image. The stego images that are produced by using such data hiding techniques are inherently robust against main geometrical attacks. 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

Steganography based on neural networks

Popis výsledku anglicky

: In the paper, we present an approach for identifying the stego-key in key-dependent steganographic schemes. The proposed approach is based on backpropagation neural networks and deals with the image histogram modifications associated with weight configurations of adapted neural networks. The image histogram is the type of histogram acting as a graphical representation of the tonal distribution in a digital image. The stego images that are produced by using such data hiding techniques are inherently robust against main geometrical attacks. 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

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 20th International Conference on Soft Computing, Mendel 2014

ISBN

978-80-214-4984-8

ISSN

1803-3814

e-ISSN

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Počet stran výsledku

6

Strana od-do

223-228

Název nakladatele

University of Technilogy

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

25. 6. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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