ALGORITHM FOR DETECTING SIGNS OF STEGANOGRAPHIC INVESTMENTS IN AUDIO FILES BASED ON A STATISTICAL ANALYSIS OF THE DISTRIBUTION OF THE SIGNAL SPECTRUM AMPLITUDES
The paper considers the results of an experiment to detect hidden steganographic attachments embedded in an audio file using the least significant bits method. A brief analysis of three freely available software products is given. Defined file options for embedding a hidden message. The analysis of the changes introduced by the investment in the spectrum of the signal. The introduction of noise and regular sequences is proposed, and their effect on an empty container and its container is evaluated. For implementation in software products, an algorithm has been formulated to identify signs of steganographic attachment in the absence of an empty container for comparison.