Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ HAL - Université de ...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Hyper Article en Ligne
Other literature type . 2013
versions View all 4 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Détection statistique d'information cachée dans des images naturelles

Authors: Zitzmann, Cathel;

Détection statistique d'information cachée dans des images naturelles

Abstract

La nécessité de communiquer de façon sécurisée n’est pas chose nouvelle : depuis l’antiquité des méthodes existent afin de dissimuler une communication. La cryptographie a permis de rendre un message inintelligible en le chiffrant, la stéganographie quant à elle permet de dissimuler le fait même qu’un message est échangé. Cette thèse s’inscrit dans le cadre du projet "Recherche d’Informations Cachées" financé par l’Agence Nationale de la Recherche, l’Université de Technologie de Troyes a travaillé sur la modélisation mathématique d’une image naturelle et à la mise en place de détecteurs d’informations cachées dans les images. Ce mémoire propose d’étudier la stéganalyse dans les images naturelles du point de vue de la décision statistique paramétrique. Dans les images JPEG, un détecteur basé sur la modélisation des coefficients DCT quantifiés est proposé et les calculs des probabilités du détecteur sont établis théoriquement. De plus, une étude du nombre moyen d’effondrements apparaissant lors de l’insertion avec les algorithmes F3 et F4 est proposée. Enfin, dans le cadre des images non compressées, les tests proposés sont optimaux sous certaines contraintes, une des difficultés surmontées étant le caractère quantifié des données

The need of secure communication is not something new: from ancient, methods exist to conceal communication. Cryptography helped make unintelligible message using encryption, steganography can hide the fact that a message is exchanged.This thesis is part of the project "Hidden Information Research" funded by the National Research Agency, Troyes University of Technology worked on the mathematical modeling of a natural image and creating detectors of hidden information in digital pictures.This thesis proposes to study the steganalysis in natural images in terms of parametric statistical decision. In JPEG images, a detector based on the modeling of quantized DCT coefficients is proposed and calculations of probabilities of the detector are established theoretically. In addition, a study of the number of shrinkage occurring during embedding by F3 and F4 algorithms is proposed. Finally, for the uncompressed images, the proposed tests are optimal under certain constraints, a difficulty overcome is the data quantization

Country
France
Related Organizations
Keywords

Statistical hypothesis testing, Digitization, Numérisation, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], JPEG (norme de codage d’images), Cryptographie, Cryptograph, JPEG (image coding standard), Tests d’hypothèses (statistique), [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]

46 references, page 1 of 5

[1] N. Ahmed, T. Natarajan, and K. Rao. Discrete cosine transform. Computers, IEEE Transactions on, C-23(1) :90 -93, jan. 1974.

[2] P. Bas, T. Filler, and T. Pevný. Break Our Steganographic System - the ins and outs of organizing BOSS. In T. Filler, editor, Information Hiding, 13th International Workshop, Lecture Notes in Computer Science, Prague, Czech Republic, May 18-20, 2011. SpringerVerlag, New York.

[3] R. Böhme. Advanced Statistical Steganalysis. Information Security and Cryptography. Springer Berlin / Heidelberg, 1st edition, 2010.

[4] A. A. Borovkov. Mathematical Statistics. Gordon and Breach Sciences Publishers, Amsterdam, 1998.

[5] V. Britanak, K. R. Rao, and P. C. Yip. Discrete Cosine and Sine Transforms : General Properties, Fast Algorithms and Integer Approximations. Elsevier, San Diego, CA, 2006.

[6] C. Chen and Y. Shi. JPEG image steganalysis utilizing both intrablock and interblock correlations. In Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on, pages 3029 -3032, may 2008.

[8] R. Cogranne, C. Zitzmann, L. Fillatre, I. Nikiforov, F. Retraint, and P. Cornu. Reliable detection of hidden information based on a non-linear local model. In Statistical Signal Processing Workshop (SSP), 2011 IEEE, pages 493 -496, june 2011. [OpenAIRE]

[9] R. Cogranne, C. Zitzmann, L. Fillatre, F. Retraint, I. Nikiforov, and P. Cornu. A cover image model for reliable steganalysis. In Information Hiding, volume 6958 of Lecture Notes in Computer Science, pages 178-192, 2011. [OpenAIRE]

[10] R. Cogranne, C. Zitzmann, L. Fillatre, F. Retraint, I. Nikiforov, and P. Cornu. Détection quasi-optimale d'informations cachées basée sur un modèle local non-linéaire. In Actes du XXIIIième colloque GRETSI, page 4, Bordeaux, France, Sept. 2011. [OpenAIRE]

[11] R. Cogranne, C. Zitzmann, F. Retraint, I. Nikiforov, L. Fillatre, and P. Cornu. Statistical detection of LSB matching in the presence of nuisance parameters. In Statistical Signal Processing Workshop (SSP), 2012 IEEE, pages 912-915. IEEE, 2012. [OpenAIRE]

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    Powered byBIP!BIP!
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Assessing the socio-economic impact of digitalisation in rural areas