Detekce steganografie vložené programem Steghide pomocí neuronových sítí

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F08%3A63507087" target="_blank" >RIV/70883521:28140/08:63507087 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 withneural 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 thispaper show that used model had almost 100 % success in revealing steganography by means of Steghide.

Název v anglickém jazyce

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

Popis výsledku anglicky

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 withneural 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 thispaper show that used model had almost 100 % success in revealing steganography by means of Steghide.

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F06%2F1132" target="_blank" >GA102/06/1132: Softcomputingové metody v řízení</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

MENDEL 2008 14th International Coference on Soft Computing

ISBN

978-80-214-3675-6

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

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Název nakladatele

Vysoké učení technické v Brně, Fakulta strojního inženýrství

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

20. 6. 2008

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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