АНАЛІЗ СУЧАСНИХ МЕТОДІВ СТЕГОАНАЛІЗУ АУДІОСИГНАЛІВ

Abstract

The paper provides information on the current state of the problem of stegoanalysis of audio signals. Interest in this subject arises due to the constant growth of digital content and digital transformation in particular. It should be noted that most of the literature related to stegoanalysis, in particular in Ukraine, deals with the analysis of images only. There is very little information about the use of audio as a container in Ukrainian publications. The authors have analysed modern foreign literature in the field of detecting hidden information in audio files. The classification of stegoanalysis methods, in particular signature, statistical and deep learning based methods, as well as their advantages and disadvantages are considered.