Steganalysis of audio based on audio quality metries

被引：45

作者：

Özer, H ^{[1
]}

Avcibas, I ^{[1
]}

Sankur, B ^{[1
]}

Memon, N ^{[1
]}

机构：

[1] Bogazici Univ, Dept Elect & Elect Engn, Istanbul, Turkey

来源：

SECURITY AND WATERMARKING OF MULTIMEDIA CONTENTS V | 2003年 / 5020卷

关键词：

Steganalysis; watermarking; audio quality measures; feature selection; support vector machine;

D O I：

10.1117/12.477313

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Classification of audio documents as bearing hidden information or not is a security issue addressed in the context of steganalysis. A cover audio object can be converted into a stego-audio object via steganographic methods. In this study we present a statistical method to detect the presence of hidden messages in audio signals. The basic idea is that, the distribution of various statistical distance measures, calculated on cover audio signals and on stego-audio signals vis-a-vis their denoised versions, are statistically different. The design of audio steganalyzer relies on the choice of these audio quality measures and the construction of a two-class classifier. Experimental results show that the proposed technique can be used to detect the presence of hidden messages in digital audio data.

引用

页码：55 / 66

页数：12

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