Using High-Dimensional Image Models to Perform Highly Undetectable Steganography

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00168853" target="_blank" >RIV/68407700:21230/10:00168853 - 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
Using High-Dimensional Image Models to Perform Highly Undetectable Steganography
Original language description
This paper presents a complete methodology for designing practical and highly-undetectable stegosystems for real digital media. The main design principle is to minimize a suitably-defined distortion by means of efficient coding algorithm. The distortionis defined as a weighted difference of extended state-of-the-art feature vectors already used in steganalysis. This allows us to "preserve" the model used by steganalyst and thus be undetectable even for large payloads. This framework can be efficientlyimplemented even when the dimensionality of the feature set used by the embedder is larger than 10^{7}. The high dimensional model is necessary to avoid known security weaknesses. Although high-dimensional models might be problem in steganalysis, we explain, why they are acceptable in steganography. As an example, we introduce HUGO, a new embedding algorithm for spatial-domain digital images and we contrast its performance with LSB matching.
Czech name
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Czech description
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Information Hiding, Lecture Notes in Computer Science
ISBN
978-3-642-16434-7
ISSN
0302-9743
e-ISSN
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Number of pages
17
Pages from-to
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Publisher name
Springer
Place of publication
Berlin
Event location
Calgary, Alberta
Event date
Jun 28, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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