Optimization of Artificial Neural Network Structure in the Case of Steganalysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43869836" target="_blank" >RIV/70883521:28140/13:43869836 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-30504-7_32" target="_blank" >http://dx.doi.org/10.1007/978-3-642-30504-7_32</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-30504-7_32" target="_blank" >10.1007/978-3-642-30504-7_32</a>

Result language
angličtina
Original language name
Optimization of Artificial Neural Network Structure in the Case of Steganalysis
Original language description
This research introduces a method of steganalysis by means of neural networks and its structure optimization. The main aim is to explain the approach of revealing a hidden content in jpeg files by feed forward neural network with Levenberg-Marquardt training algorithm. This work is also concerned to description of data mining techniques for structure optimization of used neural network. The results showed almost 100% success of detection.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name
Handbook of Optimization. From Classical to Modern Approach
ISBN
978-3-642-30503-0
Number of pages of the result
22
Pages from-to
821-843
Number of pages of the book
1097
Publisher name
Springer-Verlag Berlin
Place of publication
Heidelberg
UT code for WoS chapter
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