A Novel Audio Steganalysis Scheme for AMR
Ren Yanzhe · Journal of Wuhan University · 2014
For those existing AMR(adaptive multi-rate)steganographic algorithms which embed secret messages in the non-zero pulse positions obtained by AMR fixed codebook(FCB)search,a steganalysis method of same position probability(SPP)is proposed.By analyzing the different choosing strategies of two pulse positions in same track during the fixed codebook coding process of cover and stego audio,the probability of the first and the second pulse choosing the same positions for each track in the decoder of whole audio signal is calculated as distinguishing features,and support vector machine(SVM)classifiers are employed to train and classify.Experimental results show that the correct detection rate of our proposed method is above 85% when the embedding bit rate is 30%,and can reach above90%for cover audios.