Skip to Main content Skip to Navigation
Theses

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
Document type :
Theses
Complete list of metadata

Cited literature [172 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/tel-01352602
Contributor : Abes Star :  Contact
Submitted on : Tuesday, October 13, 2020 - 2:37:25 PM
Last modification on : Friday, August 27, 2021 - 3:14:07 PM

File

Cathel_Zitzmann_2013TROY0012.p...
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-01352602, version 2

Collections

Citation

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⟩

Share

Metrics

Record views

56

Files downloads

96