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Détection statistique d'information cachée dans des images naturelles

Abstract : 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
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Submitted on : Tuesday, October 13, 2020 - 2:37:25 PM
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  • HAL Id : tel-01352602, version 2



Cathel Zitzmann. Détection statistique d'information cachée dans des images naturelles. Cryptographie et sécurité [cs.CR]. Université de Technologie de Troyes, 2013. Français. ⟨NNT : 2013TROY0012⟩. ⟨tel-01352602v2⟩



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