From Blind to Quantitative Steganalysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200175" target="_blank" >RIV/68407700:21230/12:00200175 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6081932&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6081932" target="_blank" >http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6081932&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6081932</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TIFS.2011.2175918" target="_blank" >10.1109/TIFS.2011.2175918</a>
Alternative languages
Result language
angličtina
Original language name
From Blind to Quantitative Steganalysis
Original language description
A quantitative steganalyzer is an estimator of the number of embedding changes introduced by a specific embedding operation. Since for most algorithms the number of embedding changes correlates with the message length, quantitative steganalyzers are important forensic tools. In this paper, a general method for constructing quantitative steganalyzers from features used in blind detectors is proposed. The core of the method is a support vector regression, which is used to learn the mapping between a feature vector extracted from the investigated object and the embedding change rate. To demonstrate the generality of the proposed approach, quantitative steganalyzers are constructed for a variety of steganographic algorithms in both JPEG transform and spatial domains. The estimation accuracy is investigated in detail and compares favorably with state-of-the-art quantitative steganalyzers.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
ISSN
1556-6013
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
445-454
UT code for WoS article
000301506500009
EID of the result in the Scopus database
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