Audio steganalysis method based on wavelet packet and adaptive predictor
Yu Wang · Journal of the Graduate School of the Chinese Academy of Sciences · 2010
An audio steganalysis method based on wavelet packet and adaptive predictor is proposed. In this scheme,audio signals are firstly decomposed by the wavelet packet,the wavelet packet coefficients of high frequency are then predicted by the LMS adaptive predictor,statistics of predicted errors are selected as the statistical features,and finally SVM is implemented as a classifier. The experimental results verify that,for the commonly used steganography methods of additive noise,high classification accuracy can be achieved even in the case of low embedding strength or low embedding rate.