<abstract xmlns="http://www.w3.org/1999/xhtml">The main goal of this research is the detection of the secret messages hidden in JPEG files, which were embedded by StegoStorage library. This tool allows the user to embed any type of information into a folder of images. Sequential, pseudo-random or Hamming code-based embedding into the least significant bit (LSB) of DCT coefficients is possible. It is possible to choose what fraction of capacity of the cover files are filled.The aim of this contribution is to test the statistical LSB embedding model (modified weighted-stego analysis) for all modes of embedding which StegoStorage library offers, and for all cover files’ capacities, respectively. Another goal is to implement a more appropriate type of steganalytic attack for Hamming codes and test it. For this purpose, the RS (Regular/Singular) steganalysis was selected.The detectability of the LSB embedding model of sequential embedding is possible if the cover files are filled to at least one percent of capacity. In the case of pseudo-random embedding, the secret message can be detected if the cover files are filled to at least 10% of their capacity. Hamming codes were undetectable using this type of an attack.In the case of attack by RS steganalysis, another situation arose. When sequential or pseudo-random embeddings were used, the results indicated the detectability was possible if the cover files were filled up at least 5 percent of capacity. The capacity filling of 5 percent corresponds to 2.5 percent of DCT coefficient changes from the original media in the case of sequential embedding. This value, 2.5%, is the threshold for the utilization of Hamming codes, too. Therefore, Hamming codes (7, 4), (15, 11) and (32, 26) indicated the detectability, because they exceeded that limit.</abstract>

The main goal of this research is the detection of the secret messages hidden in JPEG files, which were embedded by StegoStorage library. This tool allows the user to embed any type of information into a folder of images. Sequential, pseudo-random or Hamming code-based embedding into the least significant bit (LSB) of DCT coefficients is possible. It is possible to choose what fraction of capacity of the cover files are filled.The aim of this contribution is to test the statistical LSB embedding model (modified weighted-stego analysis) for all modes of embedding which StegoStorage library offers, and for all cover files’ capacities, respectively. Another goal is to implement a more appropriate type of steganalytic attack for Hamming codes and test it. For this purpose, the RS (Regular/Singular) steganalysis was selected.The detectability of the LSB embedding model of sequential embedding is possible if the cover files are filled to at least one percent of capacity. In the case of pseudo-random embedding, the secret message can be detected if the cover files are filled to at least 10% of their capacity. Hamming codes were undetectable using this type of an attack.In the case of attack by RS steganalysis, another situation arose. When sequential or pseudo-random embeddings were used, the results indicated the detectability was possible if the cover files were filled up at least 5 percent of capacity. The capacity filling of 5 percent corresponds to 2.5 percent of DCT coefficient changes from the original media in the case of sequential embedding. This value, 2.5%, is the threshold for the utilization of Hamming codes, too. Therefore, Hamming codes (7, 4), (15, 11) and (32, 26) indicated the detectability, because they exceeded that limit.

Steganalysis of Stegostorage Library

Department of Applied Informatics and Information Technology, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovičova 3, SK–812-19 Bratislava,

Tatra Mountains Mathematical Publications

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Steganalysis of Stegostorage Library"}

The main goal of this research is the detection of the secret messages hidden in JPEG files, which were embedded by StegoStorage library. This tool allows the...

Steganalysis of Stegostorage Library

Publicado en línea: 25 feb 2017

Páginas: 99 - 116

Recibido: 30 sept 2016

DOI: https://doi.org/10.1515/tmmp-2016-0034

Palabras clave
steganography, steganalysis, LSB embedding, JPEG, Hamming codes, statistical tests, detectors, StegoStorage

© 2016 Michala Gulášová et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Steganalysis of Stegostorage Library

Publicado en línea: 25 feb 2017

Páginas: 99 - 116

Recibido: 30 sept 2016

DOI: https://doi.org/10.1515/tmmp-2016-0034

Palabras clavesteganography, steganalysis, LSB embedding, JPEG, Hamming codes, statistical tests, detectors, StegoStorage

© 2016 Michala Gulášová et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Palabras clave
steganography, steganalysis, LSB embedding, JPEG, Hamming codes, statistical tests, detectors, StegoStorage