Analysis of steganographed audio files with the guide of artificial neural networks

In this study, we have focused on steganalysis in contrast to steganography literature. There have been many studies on image driven steganalysis, but a very few on audio-file driven steganalysis. In this thesis, we have focused on audio-file driven steganalysis studies. We have used stego-object steganalysis known attack methods through our attack algorithm. This method of audio file created using LSB steganography method is a form of an attack on the stego object. In our steganalysis methods, there has been made an analysis of data extraction process for data embedded in the last bit of audio files.Steganalysis detection methods in general (insight) that can be done there, or do not have the data in this file can be hidden. Here, we have investigated the answers for question of `What percentage of hidden data is in such a file?.