Steganalysis of recorded speech

Micah K. Johnson; Siwei Lyu; Hany Farid

doi:10.1117/12.586941

21 March 2005 Steganalysis of recorded speech

Micah K. Johnson, Siwei Lyu, Hany Farid

Proceedings Volume 5681, Security, Steganography, and Watermarking of Multimedia Contents VII; (2005) https://doi.org/10.1117/12.586941
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

Digital audio provides a suitable cover for high-throughput steganography. At 16 bits per sample and sampled at a rate of 44,100 Hz, digital audio has the bit-rate to support large messages. In addition, audio is often transient and unpredictable, facilitating the hiding of messages. Using an approach similar to our universal image steganalysis, we show that hidden messages alter the underlying statistics of audio signals. Our statistical model begins by building a linear basis that captures certain statistical properties of audio signals. A low-dimensional statistical feature vector is extracted from this basis representation and used by a non-linear support vector machine for classification. We show the efficacy of this approach on LSB embedding and Hide4PGP. While no explicit assumptions about the content of the audio are made, our technique has been developed and tested on high-quality recorded speech.

Citation Download Citation

Micah K. Johnson, Siwei Lyu, and Hany Farid "Steganalysis of recorded speech", Proc. SPIE 5681, Security, Steganography, and Watermarking of Multimedia Contents VII, (21 March 2005); https://doi.org/10.1117/12.586941

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