Audio Spread Spectrum Steganalysis Algorithm Based on Wavelet Transform
Lefei Zhang · Jisuanji gongcheng · 2010
This paper proposes a new audio spread spectrum steganalysis algorithm based on wavelet denoising technology and wavelet discontinuity detection technology. The algorithm uses the wavelet denoising technology to separate the noise signal from the audio,and circularly interceptes a part of the noise signal with different length. Using this part of noise signal,it computes the cross correlation sequence with the rest of the noise signal. Using wavelet discontinuity detection technology,it detects the discontinuities from the cross correlation sequence,extracts some of the characteristics from those discontinuities to make steganalysis of audio to be detected. Experimental results show that the correct detection rate of the scheme achieves above 80 percent when the strength of the pseudorandom noise sequence is above 0.002.