Detection of Stegoimages by F5 Programme by means of Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63507968" target="_blank" >RIV/70883521:28140/09:63507968 - 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
Detection of Stegoimages by F5 Programme by means of Neural Networks
Original language description
Steganography is one of often used method to hide encoded message inside multimedia file. Such advantage is unfortunately used to send very dangerous messages. Therefore is obvious to try to find a suitable method for detection of these hidden codes. This article is continuation of research in this field and here another programme for creation of stegoimages is used ? F5. As in previous research neural networks ? feedforward network ? were used. In the result part a detection and comparison with other stegoprogrammes are performed out. Neural networks are methods which are very flexible in learning to different and difficult problems. Results in this paper show that used model had almost 100 % success in revealing stegoimages.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Control Algorithm Design by Means of Evolutionary Approach</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
15th International Conference on Soft Computing MENDEL 2009
ISBN
978-80-214-3884-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
VUT Brno
Place of publication
Brno
Event location
Brno
Event date
Jun 26, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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