Journal of Computer Applications ›› 2016, Vol. 36 ›› Issue (2): 382-386.DOI: 10.11772/j.issn.1001-9081.2016.02.0382

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Universal steganalysis scheme of advanced audio coding

XIONG Hao1, REN Yanzhen1,2, WANG Lina1,2   

  1. 1. Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education(Wuhan University), Wuhan Hubei 430072, China;
    2. Computer School, Wuhan University, Wuhan Hubei 430072, China
  • Received:2015-08-29 Revised:2015-09-10 Online:2016-02-10 Published:2016-02-03


熊浩1, 任延珍1,2, 王丽娜1,2   

  1. 1. 空天信息安全与可信计算教育部重点实验室(武汉大学), 武汉 430072;
    2. 武汉大学 计算机学院, 武汉 430072
  • 通讯作者: 任延珍(1973-),女,陕西富县人,副教授,博士,主要研究方向:多媒体信息安全。
  • 作者简介:熊浩(1990-),男,湖北武汉人,硕士研究生,主要研究方向:多媒体信息安全;王丽娜(1964-),女,辽宁营口人,教授,博士,主要研究方向:多媒体信息安全。
  • 基金资助:

Abstract: Focusing on the issue that Advanced Audio Coding (AAC) is being transmitted unsafely and the steganalysis scheme's development has fallen behind relatively, a universal steganalysis scheme of AAC compressed domain was proposed. Based on the embedding influence caused by several known AAC Modefied Discrete Cosine Transform (MDCT) stegonagraphy methods, several steganalysis sub-featrues were constructed from multi-order differential correlations of AAC's inter-frame and intra-frame MDCT coefficients, then the sub-features were fused by different weights according to AAC's own coding principle, and the random forest classifier was used to distinguish embedded audio and normal audio. The experimental results show that the proposed steganalysis scheme has good performance in general detection compared to the existing algorithm; especially, the detecting rate of each stegonagraphy method is higher than 80% when the realative embedding rate is 50%.

Key words: Advanced Audio Coding(AAC), Modified Discrete Cosine Transform(MDCT), steganography, steganalysis

摘要: 针对面向高级音频编码(AAC)音频压缩标准的内容安全和隐写分析算法相对滞后的问题,提出一种面向AAC压缩域的通用隐写分析方法。该算法利用相邻的修正的离散余弦变换(MDCT)系数之间的相关性,构建基于帧间帧内多阶差分相关性的隐写分析子特征,结合AAC编码特性对子特征进行加权融合,得到用于通用隐写分析的特征集合,并采用随机森林组合分类器,实现了面向AAC MDCT系数修改的通用隐写分析。实验结果表明,所提算法对现有隐写算法能够实现有效的通用检测,在相对嵌入率为50%的条件下,各种隐写算法的检测率都能达到80%以上。

关键词: 高级音频编码, 修正的离散余弦变换, 隐写, 隐写分析

CLC Number: