Registration Number
0226U001454,
(0124U003373)
, R & D reports
Title
Development of algorithm and software for universal stegoanalysis method
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Аналіз методів стеганографії та стегоаналізу аудіосигналів
Head
Martyniuk Hanna V., Кандидат технічних наук
Registration Date
27-01-2026
Organization
Mariupol State University
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The aim of the work is to synthesise various stegoanalysis methods and methods of statistical processing of non-stationary signals to develop an algorithm and software for a universal stegoanalysis method. The developed method will help to find the hidden message in the signal regardless of what steganography method was used to embed it in a container. It is proposed to use audio signals as a container.
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In today's digital transformation environment, the problem of hiding information in multimedia data, including audio signals, is becoming increasingly important. Audio steganography is used both for legitimate purposes, such as digital watermarking and copyright protection, and for covert information transmission, which can be a potential threat to information security. In this regard, audio signal stegoanalysis is becoming an important tool for detecting hidden data, which is of great importance for cybersecurity.
Foreign research in the field of audio signal stegoanalysis is actively developing, especially in Europe, the United States, and China. Scientists use statistical analysis, spectral analysis, machine learning, and deep neural networks to identify signs of steganographic changes in audio files. Specialized scientific journals and international conferences regularly publish new approaches and algorithms for detecting hidden information in audio files.
At the same time, in Ukraine, research in the field of audio signal stegoanalysis is at an early stage of development. Despite the general interest in the problem of information security, the number of publications and research in this area is much lower than in the leading countries of the world. This necessitates further research in this area and the introduction of modern methods for analyzing audio steganographic threats.
Product Description
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Yurii O. Dreis
Mariia S. Mnatsakanian
Serhii M. Ivanov
Anzhelika P. Stakhova
Andrii O. Okhrimenko
Oleksandr F. Yenikieiev
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2026-01-27
