A Novel Steganalysis Algorithm of Phase Coding in Audio Signal
Wei Zeng, Haojun Ai, Ruimin Hu · 2007
Audio steganalysis has attracted more attentions recently. Phase steganalysis is one of the most challenging research fields. In this paper, a novel algorithm to detect phase coding steganography in audio signal is proposed. It is based on analysis of the phase discontinuities, and can be described as follows. Firstly, it takes FFT transform of special segment of audio and unwraps the phases of each audio sample, then extracts the phase difference between neighboring samples. Secondly, in order to monitor the change of phase difference, it calculates the five statistical features of phase difference for steganalysis. Thirdly, the SVM classifier is utilized for classification. All of the 800 various audios are trained and tested in our experimental work. With various embedding parameters for training and testing audios, the proposed algorithm can achieve a good classification, and the correct rate of detecting is up to 95%.