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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 | - |