Vector Quantization based Steganography for Secure Speech Communication System

Bekkar Laskar, Merouane Bouzid

2017

Abstract

Data hiding (steganography or watermarking) involves embedding secret data into various forms of digital media such as text, audio, image and video. In this paper we propose two variants of vector quantization (VQ) based steganography method to hide secret speech signal in host public speech coded by the AMR-WB (Rec. G.722.2). The secret bit stream is hidden by using the basic principle of binning scheme which is carried out in the split-multistage vector quantization of G.722.2 immittance spectral frequencies (ISF) parameters.

Paper Citation

in Harvard Style

Laskar B. and Bouzid M. (2017). Vector Quantization based Steganography for Secure Speech Communication System . In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017) ISBN 978-989-758-259-2, pages 407-412. DOI: 10.5220/0006398304070412

in Bibtex Style

@conference{secrypt17,
author={Bekkar Laskar and Merouane Bouzid},
title={Vector Quantization based Steganography for Secure Speech Communication System},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)},
year={2017},
pages={407-412},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006398304070412},
isbn={978-989-758-259-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)
TI - Vector Quantization based Steganography for Secure Speech Communication System
SN - 978-989-758-259-2
AU - Laskar B.
AU - Bouzid M.
PY - 2017
SP - 407
EP - 412
DO - 10.5220/0006398304070412