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计算机科学

基于码表分布特征和重编码的 MP3Stego隐写分析

  • 万威 ,
  • 赵险峰 ,
  • 黄炜 ,
  • 盛任农
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  • 1. 中国科学院软件研究所信息安全国家重点实验室, 北京 100190;
    2. 北京电子技术应用研究所, 北京 100091

收稿日期: 2010-10-14

  修回日期: 2010-12-21

  网络出版日期: 2012-01-15

基金资助

国家自然科学基金(61170281)和北京市自然科学基金(4112063)资助

Steganalysis of MP3Stego based on Huffman table distribution and recoding

  • WAN Wei ,
  • ZHAO Xian-Feng ,
  • HUANG Wei ,
  • SHENG Ren-Nong
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  • 1. State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China;
    2. Beijing Institute of Electronic Technology and Application, Beijing 100091, China

Received date: 2010-10-14

  Revised date: 2010-12-21

  Online published: 2012-01-15

摘要

提出一种基于Huffman码表分布特征和重编码的MP3Stego隐写分析方法.该方法通过Huffman码表分布特征有效地反映了MP3Stego隐写造成的块间量化不均现象.利用重编码得到校准的载体音频,减少不同载体造成的差异,从而提高检测率.实验证明,该方法对MP3Stego有很好的检测效果,在极低的嵌入率下效果仍稳定.

本文引用格式

万威 , 赵险峰 , 黄炜 , 盛任农 . 基于码表分布特征和重编码的 MP3Stego隐写分析[J]. 中国科学院大学学报, 2012 , 29(1) : 118 -124 . DOI: 10.7523/j.issn.2095-6134.2012.1.017

Abstract

We propose a new steganalysis approach against MP3Stego based on Huffman table distribution and recoding scheme. Huffman table distribution features are used to detect uneven quantization among blocks. Recoding scheme can be used to calibrate cover signals and to reduce the variety caused by different carriers. Experiments show that our method is successful in detecting MP3Stego even at a very low embedding rate.

参考文献


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[7] Qiao M Y, Sung A H, Liu Q Z. Feature mining and intelligent computing for MP3 steganalysis //Mark Borodovsky, Intenational Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing. Shanghai, China: IEEE, 2009: 627-630.

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