A performance comparision about hiding methods for steganalysed audio files through chi-square and artificial neural networks

In this study, there has been carried a performance comparison on random and sequential hidden data of audio wav files by using the chi-square test and PNN with steganography technique that allows resolution of package. During performance of applied steganography method, it is assumed that hiding algorithm is known. It has been developed an analysis method for hidden objects created by using LSB steganography technique. LSB data hiding method that the hidden data embedded into last bits, has been strengthened by holding a performance comparison analysis both as random and sequential type about steganography algorithms. Lastly results has been optimized as real as possible by training of PNN neural network.