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Security analysis of steganalyzers

Abstract : In the recent time, the field of image steganalysis and steganography became more important due to the development in the Internet domain. It is important to keep in mind that the whole process of steganography and steganalysis can be used for legal or illegal operations like any other applications. The work in this thesis can be divided inthree parts. The first one concentrates on parameters that increase the security of steganography methods against steganalysis techniques. In this contribution the effect of the payload, feature extractions, and group of images that are used in the learning stage and testing stage for the steganalysis system are studied. From simulation, we note that the state of the art steganalyzer fails to detect the presence of a secret message when some parameters are changed. In the second part, we study how the presence of many steganography methods may influence the detection of a secret message. The work takes into consideration that there is no ideal situation to embed a secret message when the steganographier can use any scheme with any payloads. In the third part, we propose a method to compute an accurate distortion map depending on a second order derivative of the image. The second order derivative is used to compute the level curve and to embed the message on pixels outside clean level curves. The results of embedding a secret message with our method demonstrate that the result is acceptable according to state of the art steganography.
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Submitted on : Monday, April 30, 2018 - 11:49:06 AM
Last modification on : Wednesday, October 14, 2020 - 4:02:56 AM
Long-term archiving on: : Tuesday, September 25, 2018 - 11:27:12 AM


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  • HAL Id : tel-01781419, version 1


Yousra Ahmed Fadil. Security analysis of steganalyzers. Cryptography and Security [cs.CR]. Université Bourgogne Franche-Comté, 2017. English. ⟨NNT : 2017UBFCD015⟩. ⟨tel-01781419⟩



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