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Open AccessJournal ArticleDOI

Comparative study of digital audio steganography techniques

TLDR
Current digital audio steganographic techniques are reviewed and evaluated based on robustness, security and hiding capacity indicators and a robustness-based classification of steganography models depending on their occurrence in the embedding process is provided.
Abstract
The rapid spread in digital data usage in many real life applications have urged new and effective ways to ensure their security. Efficient secrecy can be achieved, at least in part, by implementing steganograhy techniques. Novel and versatile audio steganographic methods have been proposed. The goal of steganographic systems is to obtain secure and robust way to conceal high rate of secret data. We focus in this paper on digital audio steganography, which has emerged as a prominent source of data hiding across novel telecommunication technologies such as covered voice-over-IP, audio conferencing, etc. The multitude of steganographic criteria has led to a great diversity in these system design techniques. In this paper, we review current digital audio steganographic techniques and we evaluate their performance based on robustness, security and hiding capacity indicators. Another contribution of this paper is the provision of a robustness-based classification of steganographic models depending on their occurrence in the embedding process. A survey of major trends of audio steganography applications is also discussed in this paper.

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Citations
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Journal ArticleDOI

Image steganography in spatial domain: A survey

TL;DR: The general structure of the steganographic system and classifications of image steganography techniques with its properties in spatial domain are exploited and different performance matrices and steganalysis detection attacks are discussed.
Journal ArticleDOI

High capacity, transparent and secure audio steganography model based on fractal coding and chaotic map in temporal domain

TL;DR: The HASFC model outperforms related studies by improving the hiding capacity up to 30% and maintaining the transparency of stego audio with average values of SNR at 70.4, PRD at 0.0002 and SDG at 4.7.
Book ChapterDOI

Audio Steganography Techniques: A Survey

TL;DR: A study have done on overall standards of concealing mystery facts in sound document utilizing sound information concealing systems, and an outline of present strategies and capacities furthermore talk about the favorable circumstances and disservices of diverse sorts of audio steganography method.
Journal ArticleDOI

A sparse representation-based wavelet domain speech steganography method

TL;DR: The proposed speech steganography method exploits the sparse representation to embed secret messages into higher semantic levels of the cover signal, resulting in increased undetectability and improvements on both stego signal quality and embedding capacity.
Journal ArticleDOI

A Cover Selection HEVC Video Steganography Based on Intra Prediction Mode

TL;DR: A cover selection rule combined with the Coding Unit (CU) and Prediction Unit (PU) coding information is proposed, which can improve the security performance of a stego video stream and can also be integrated into other HEVC IPM based steganography.
References
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Book

An Introduction to Support Vector Machines

TL;DR: This book is the first comprehensive introduction to Support Vector Machines, a new generation learning system based on recent advances in statistical learning theory, and introduces Bayesian analysis of learning and relates SVMs to Gaussian Processes and other kernel based learning methods.
Journal ArticleDOI

Techniques for data hiding

TL;DR: This work explores both traditional and novel techniques for addressing the data-hiding process and evaluates these techniques in light of three applications: copyright protection, tamper-proofing, and augmentation data embedding.

Introduction to Support Vector Machines

TL;DR: Support Vector Machines (SVM’s) are intuitive, theoretically wellfounded, and have shown to be practically successful.
Journal ArticleDOI

Evaluation of Objective Quality Measures for Speech Enhancement

TL;DR: The evaluation of correlations of several objective measures with these three subjective rating scales is reported on and several new composite objective measures are also proposed by combining the individual objective measures using nonparametric and parametric regression analysis techniques.
Proceedings Article

Echo Hiding

TL;DR: These echoes can be used to place digital identi cation tags directly into an audio signal with minimal objectionable degradation of the original signal.
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