Analyzing the presence of a hidden message in an audio signal

Abstract

Today it is practically impossible to calculate the presence of a hidden message in an audio signal if it is not known by what steganographic method this message was hidden. During the analysis of audio signals, the authors hypothesized that the audio signal is a statistically homogeneous signal that has constant probabilistic characteristics. If the signal is heterogeneous, then it should be broken into some statistically homogeneous chunks, i.e., find the signal breakdown points and study the signal in the intervals of the breakdown point. In this paper, the method of finding the hidden message in audio signal is proposed by partitioning the signal into intervals with the help of breakdown points. Later, for each individual interval, statistical studies of the first two moments of the signal are performed and the presence or absence of hidden message is concluded.