About: Detection of Steganography Content Inserted by Steghide by means of Neural Networks

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Cryptography is one of very much spoken word nowadays. Security of messages transfer is very important and specialists have a work to think a new cryptography up. Cryptography, on the other hand, is used by jailbirds, so cryptanalysts have also very important job to detect and reveal and then decode the coded messages. Steganography is an additional method leading to better secure up messages which goes hand by hand with cryptography, therefore reveal of such a message is not easy. This paper deals with neural network models which are able to detect steganography content coded by a program Steghide using neural networks like taxonomist. 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 steganography by means of Steghide. Cryptography is one of very much spoken word nowadays. Security of messages transfer is very important and specialists have a work to think a new cryptography up. Cryptography, on the other hand, is used by jailbirds, so cryptanalysts have also very important job to detect and reveal and then decode the coded messages. Steganography is an additional method leading to better secure up messages which goes hand by hand with cryptography, therefore reveal of such a message is not easy. This paper deals with neural network models which are able to detect steganography content coded by a program Steghide using neural networks like taxonomist. 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 steganography by means of Steghide. (en) Tento článek se zabývá detekcí steganografie pomocí neuronových sítí. Steganografie je ukrytá zpráva uvnitř obrázků či jiných multimediálních souborů a je problém ji odhalit, protože běžným okem rozdíl mezi obrázkem čistým a s ukrytým obsahem nelze rozeznat. Proto byly využity neuronové sítě jako klasifikátor. (cs)
Title	Detection of Steganography Content Inserted by Steghide by means of Neural Networks Detekce steganografie vložené programem Steghide pomocí neuronových sítí (cs) Detection of Steganography Content Inserted by Steghide by means of Neural Networks (en)
skos:prefLabel	Detection of Steganography Content Inserted by Steghide by means of Neural Networks Detekce steganografie vložené programem Steghide pomocí neuronových sítí (cs) Detection of Steganography Content Inserted by Steghide by means of Neural Networks (en)
skos:notation	RIV/70883521:28140/08:63507087!RIV09-GA0-28140___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA102/06/1132), Z(MSM7088352101)
http://linked.open...vai/riv/dodaniDat	2009
http://linked.open...aciTvurceVysledku	Zelinka, Ivan Oplatková, Zuzana Šenkeřík, Roman Hološka, Jiří
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Tomáše Bati ve Zlíně / Fakulta aplikované informatiky
http://linked.open...dnocenehoVysledku	362842
http://linked.open...ai/riv/idVysledku	RIV/70883521:28140/08:63507087
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Evolutionary algorithms; data approximation; symbolic regression; synthesis (en)
http://linked.open.../riv/klicoveSlovo	Evolutionary algorithms symbolic regression synthesis data approximation
http://linked.open...ontrolniKodProRIV	[2FE76EAD4D54]
http://linked.open...v/mistoKonaniAkce	Brno
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	MENDEL 2008 14th International Coference on Soft Computing
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Softcomputing in Control
http://linked.open...UplatneniVysledku	2008
http://linked.open...iv/tvurceVysledku	Oplatková, Zuzana Zelinka, Ivan Šenkeřík, Roman Hološka, Jiří
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2008-06-20 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Multifunctional Composite Systems Based on Natural and Synthetic Polymers
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Vysoké učení technické v Brně. Fakulta strojního inženýrství
https://schema.org/isbn	978-80-214-3675-6
http://localhost/t...ganizacniJednotka	28140

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