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Audio steganalysis method based on wavelet packet and adaptive predictor

  • WANG Yu-Jie ,
  • GUO Li ,
  • WANG Cui-Ping ,
  • DING Zhi-Guo
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  • Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230027, China

Received date: 2009-06-15

  Revised date: 2009-09-08

  Online published: 2010-01-15

Abstract

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.

Cite this article

WANG Yu-Jie , GUO Li , WANG Cui-Ping , DING Zhi-Guo . Audio steganalysis method based on wavelet packet and adaptive predictor[J]. Journal of University of Chinese Academy of Sciences, 2010 , 27(1) : 49 -54 . DOI: 10.7523/j.issn.2095-6134.2010.1.007

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