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Proceedings Paper

Audio steganalysis based on factor analysis and support vector machine
Author(s): Jinsha Yuan; Yincheng Qi
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Paper Abstract

Factor analysis (FA) is a multivariate statistical method for studying the correlation among a group of variables, and is able to minimize data redundancy and reveal hidden patterns. We used FA to reduce the dimension of feature vector and support vector machine to classify the audio data sets in the proposed audio steganalysis system. Then the system is utilized to detect the stego-audio signals embedded by wavelet domain LSB, quantization index method (QIM) and addition method (AM). The dimension of feature vector is decreased from 36 to 7 (LSB), 6 (QIM), 6 (AM) respectively. The detection rates are all greater than 91% and the detecting performance is maintained.

Paper Details

Date Published: 13 October 2008
PDF: 6 pages
Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 71280S (13 October 2008); doi: 10.1117/12.806575
Show Author Affiliations
Jinsha Yuan, North China Electric Power Univ. (China)
Yincheng Qi, North China Electric Power Univ. (China)


Published in SPIE Proceedings Vol. 7128:
Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment

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