Artificial Neural Networks for Detection Cover and Stego Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F12%3A43868932" target="_blank" >RIV/70883521:28140/12:43868932 - 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
Artificial Neural Networks for Detection Cover and Stego Images
Original language description
This paper is aimed on the technique for detection of cover and stego images by means of arti cial neural networks. The work is connected with cryptography for information encoding and additional method for information hiding, which is called steganography. The core of the paper explains the principle of hidden information revealing in multimedia fi les like jpeg by means of arti cial neural networks. The results show successful detection of four stego techniques by means of feed forward neural networkswith one hidden layer.
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/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
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 Fifth International Conference on Bioinspired Optimization Methods and their Applications
ISBN
978-961-264-043-9
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
281-290
Publisher name
Jožef Stefan Institute
Place of publication
Ljubljana
Event location
Bohinj
Event date
May 24, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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