Steganography content detection by means of feedforward neural network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43869700" target="_blank" >RIV/70883521:28140/13:43869700 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1504/IJICA.2013.055932" target="_blank" >http://dx.doi.org/10.1504/IJICA.2013.055932</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1504/IJICA.2013.055932" target="_blank" >10.1504/IJICA.2013.055932</a>
Alternative languages
Result language
angličtina
Original language name
Steganography content detection by means of feedforward neural network
Original language description
This paper describes the technique for revealing of steganography content in images by means of feedforward neural network. The work is connected with cryptography for information encoding and additional method for information hiding, which is called steganography. The substance of the paper explains the principle of hidden information detection in images like JPEG format by means of feedforward neural network. The results show successful detection of four stego techniques by means of artificial neuralnetwork with one hidden layer.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
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
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Innovative Computing and Applications
ISSN
1751-648X
e-ISSN
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Volume of the periodical
5
Issue of the periodical within the volume
3
Country of publishing house
GB - UNITED KINGDOM
Number of pages
7
Pages from-to
184-190
UT code for WoS article
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EID of the result in the Scopus database
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