Audio steganalysis based on factor analysis and support vector machine

Jinsha Yuan; Yincheng Qi

doi:10.1117/12.806575

13 October 2008 Audio steganalysis based on factor analysis and support vector machine

Jinsha Yuan, Yincheng Qi

Proceedings Volume 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment; 71280S (2008) https://doi.org/10.1117/12.806575
Event: Seventh International Symposium on Instrumentation and Control Technology, 2008, Beijing, China

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.

Citation Download Citation

Jinsha Yuan and Yincheng Qi "Audio steganalysis based on factor analysis and support vector machine", Proc. SPIE 7128, Seventh International Symposium on Instrumentation and Control Technology: Measurement Theory and Systems and Aeronautical Equipment, 71280S (13 October 2008); https://doi.org/10.1117/12.806575

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