Controlled distortion for high capacity data-in-speech spectrum steganography
Date
2010
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Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
Methods applied to ensure privacy of digital data became essential in many real life applications. Efficient secrecy can be achieved, at least in part, by implementing steganography techniques. In this paper, we present a technique that limits the impact of high data capacity embedding on the quality of stego wideband speech. Our method uses the energy of each frequency bin component to determine the maximum number of bits that can be confined without inducing any noticeable distortion on the cover speech. To guarantee good quality of stego speech, the embedding in the selected frequency components occurs below a well defined distortion level to limit the impact of the hiding on the stego-speech. The algorithm uses multiple parameters that can be adjusted by the sender to render the steganalysis work more challenging. The objective and subjective results show that this approach is robust to noise addition and maintains a very good quality of the cover signal while achieving high hiding capacity. © 2010 IEEE.
Description
This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (2010), available online at: https://doi.org/10.1109/IIHMSP.2010.60.
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Other
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Keywords
Data capacity, Data-in-speech embedding, Digital datas, FFT based steganography, Frequency components, Hiding capacity, High capacity, Multiple parameters, Noise addition, Real-life applications, Speech spectra, Steganalysis, Wideband speech, Fast Fourier transforms, Signal processing, Steganography, Multimedia signal processing
Citation
Djebbar, F., Hamamy, H., Abed-Meraimz, K., & Guerchix, D. (2010). Controlled distortion for high capacity data-in-speech spectrum steganography. In Proceedings - 2010 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2010 (pp. 212–215). https://doi.org/10.1109/IIHMSP.2010.60