Detection of Steganography Inserted by OutGuess and Steghide by means of Neural Networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F09%3A63507970" target="_blank" >RIV/70883521:28140/09:63507970 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Detection of Steganography Inserted by OutGuess and Steghide by means of Neural Networks
Original language description
The paper deals with detection of steganography content. Steganography is an additional method in cryptography which helps to hide coded messages inside pictures or videos. To hide a message is very important but also revealing such content is importantto avoid of usage by jailbirds. The revealing of steganography is not easy. This paper shows how neural networks are able to detect steganography content coded by a program OutGuess and Steghide using neural networks like taxonomist. Training sets were created from clear and coded pictures with different length of inserted message. Neural networks are methods which are very flexible in learning to different and difficult problems. Results in this paper show that used models had almost 100 % success in steganography detection of messages inserted by OutGuess and Steghide.
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F09%2F1680" target="_blank" >GA102/09/1680: Control Algorithm Design by Means of Evolutionary Approach</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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