Comparative Analysis of Algorithms for Detecting Hidden Information in Digital Images

DOI: https://doi.org/10.25559/SITITO.020.202402.519-529

Abstract

The article provides an analysis of scientific research in the field of steganalysis of digital images, and considers the classification of steganalytic algorithms. Requirements for software for automating steganalysis and comparing algorithms for detecting information hidden in graphic files are formulated. Using the example of pair analysis, as well as the Chi-square and RS analysis methods, the principle of operation of steganalytic algorithms for digital images of PNG format is considered. A software package for researchment of steganalysis algorithms has been developed in the Ruby programming language. The results of computational experiments and a comparative analysis of the accuracy of the described algorithms using ROC curves are presented. The capabilities of the program are presented and the characteristics of its work with different amounts of hidden information are given. The practical application of the developed software package is the conducting laboratory work at the university to study steganalysis methods, as well as researching the properties of steganalytic algorithms.

Author Biographies

Andrey Igorevich Bannikov, Russian State Social University

Postgraduate Student of the Chair of Information Technologies, Artificial Intelligence and Social Technologies of Digital Society

Elena Anatolyevna Melnikova, Russian State Social University

Associate Professor of the Chair of Information Technologies, Artificial Intelligence and Social Technologies of Digital Society, Cand. Sci. (Phys.-Math.)

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Published
2024-07-28
How to Cite
BANNIKOV, Andrey Igorevich; MELNIKOVA, Elena Anatolyevna. Comparative Analysis of Algorithms for Detecting Hidden Information in Digital Images. Modern Information Technologies and IT-Education, [S.l.], v. 20, n. 2, p. 519-529, july 2024. ISSN 2411-1473. Available at: <http://sitito.cs.msu.ru/index.php/SITITO/article/view/1103>. Date accessed: 28 feb. 2026. doi: https://doi.org/10.25559/SITITO.020.202402.519-529.
Citation Formats
Issue
Vol 20 No 2 (2024): Modern Information Technologies and IT-education
Section
Theoretical and Practical Aspects of Cybersecurity
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