StegoStorage
swMATH ID:  33124 
Software Authors:  Gulášová, Michala; Jókay, Matúš 
Description:  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 user to embed any type of information into a folder of images. Sequential, pseudorandom or Hamming codebased 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 weightedstego 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 pseudorandom embedding, the secret message can be detected if the cover files are filled to at least 10 
Homepage:  https://content.sciendo.com/view/journals/tmmp/67/1/articlep99.xml?language=en 
Dependencies:  Python 
Keywords:  steganography; steganalysis; LSB embedding; JPEG; Hamming codes; statistical tests; detectors; StegoStorage 
Related Software:  
Cited in:  1 Document 
Standard Articles
1 Publication describing the Software, including 1 Publication in zbMATH  Year 

Steganalysis of StegoStorage library. Zbl 1436.94007 Gulášová, Michala; Jókay, Matúš 
2016

Cited by 2 Authors
1  Gulášová, Michala 
1  Jókay, Matúš 
Cited in 1 Serial
1  Tatra Mountains Mathematical Publications 
Cited in 2 Fields
1  Computer science (68XX) 
1  Information and communication theory, circuits (94XX) 