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Title: | Optimization of artificial neural network structure in the case of steganalysis | ||||||||||
Author: | Komínková Oplatková, Zuzana; Hološka, Jiří; Procházka, Michal; Šenkeřík, Roman; Jašek, Roman | ||||||||||
Document type: | Peer-reviewed article (English) | ||||||||||
Source document: | Intelligent Systems Reference Library. 2013, vol. 38, p. 821-843 | ||||||||||
ISSN: | 1868-4394 (Sherpa/RoMEO, JCR) | ||||||||||
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ISBN: | 978-3-642-30503-0 | ||||||||||
DOI: | https://doi.org/10.1007/978-3-642-30504-7_32 | ||||||||||
Abstract: | 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. © Springer-Verlag Berlin Heidelberg 2013. | ||||||||||
Full text: | https://link.springer.com/chapter/10.1007/978-3-642-30504-7_32 | ||||||||||
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