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Detection of stegoimages inserted by F5 programme by means of neural networks

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dc.title Detection of stegoimages inserted by F5 programme by means of neural networks en
dc.contributor.author Hološka, Jiří
dc.contributor.author Oplatková, Zuzana
dc.contributor.author Zelinka, Ivan
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof MENDEL 2009
dc.identifier.issn 1803-3814 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-80-214-3884-2
dc.date.issued 2009
dc.citation.spage 186
dc.citation.epage 191
dc.event.title 15th International Conference on Soft Computing
dc.event.location Brno
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2009-06-24
dc.event.edate 2009-06-26
dc.type conferenceObject
dc.language.iso en
dc.publisher Vysoké učení technické v Brně cs
dc.subject Steganography en
dc.subject Cryptography en
dc.subject Neural networks en
dc.description.abstract 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. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001828
utb.identifier.rivid RIV/70883521:28140/09:63507968!RIV10-MSM-28140___
utb.identifier.obdid 43861042
utb.identifier.scopus 2-s2.0-84907943678
utb.identifier.wok 000273029500029
utb.source d-wok
dc.date.accessioned 2011-08-09T07:34:02Z
dc.date.available 2011-08-09T07:34:02Z
utb.contributor.internalauthor Hološka, Jiří
utb.contributor.internalauthor Oplatková, Zuzana
utb.contributor.internalauthor Zelinka, Ivan
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Jiří Hološka, Zuzana Oplatková, Ivan Zelinka, Roman Šenkeřík Faculty of Applied Informatics, Tomas Bata University, Nad Stráněmi 4511, 760 05 Zlín, Czech Republic | Phone: +420 57 603 5190, E-mail: {oplatková}@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the grant NO. MSM 7088352101 of the Ministry of Education of the Czech Republic and by grants of Grant Agency of Czech Republic GACR 102/09/1680.
utb.fulltext.projects MSM 7088352101
utb.fulltext.projects GACR 102/09/1680
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou -
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