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Detection of audio covert channels using statistical footprints of hidden messages

Digital Signal Processing, no. 4 (2006): 389-401

Cited: 64|Views27
EI

Abstract

We address the problem of detecting the presence of hidden messages in audio. The detector is based on the characteristics of the denoised residuals of the audio file, which may consist of a mixture of speech and music data. A set of generalized moments of the audio signal is measured in terms of objective and perceptual quality measures....More

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