An Audio Information Hiding Algorithm Based on ICA

Author

Wang, Rangding ; Li, Qian ; Yan, Diqun

Author_Institution

CKC Software Lab., Ningbo Univ.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

4175

Lastpage

4179

Abstract

A novel audio information hiding technology combined with ICA (independent component analysis) and QIM (quantized index modulation) is proposed. ICA method is applied to audio signal processing to obtain the statistical independent sources as hiding channels. As ICA processing is sensitive to the only dividing matrix, security is guaranteed. A piece of meaningful speech signal is hidden in the carrier audio. Through analytic comparisons and experimental results, this algorithm is found to have a larger hiding capacity and a lower distortion to carrier audio, and also robust against a variety of common signal processing manipulations

Keywords

audio signal processing; data encapsulation; independent component analysis; modulation; security of data; audio information hiding algorithm; audio signal processing; dividing matrix; independent component analysis; quantized index modulation; security; Algorithm design and analysis; Discrete cosine transforms; Discrete wavelet transforms; Distortion; Independent component analysis; Information security; Robustness; Signal analysis; Signal processing algorithms; Speech; ICA; QIM; information hiding; mutual information; nongaussianity;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713161

Filename

1713161