Steganography based on neural networks
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Steganography based on neural networks
Original language description
: 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
6
Pages from-to
223-228
Publisher name
University of Technilogy
Place of publication
Brno
Event location
Brno
Event date
Jun 25, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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