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Comparative study of digital audio steganography techniques
- Source :
- EURASIP Journal on Audio, Speech, and Music Processing, EURASIP Journal on Audio, Speech, and Music Processing, SpringerOpen, 2012
- Publisher :
- Springer Nature
-
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.
- Subjects :
- Voice over IP
Acoustics and Ultrasonics
Steganography
Multimedia
business.industry
Computer science
Digital data
020206 networking & telecommunications
02 engineering and technology
Data_CODINGANDINFORMATIONTHEORY
computer.software_genre
Robustness (computer science)
Information hiding
Secrecy
0202 electrical engineering, electronic engineering, information engineering
Systems design
020201 artificial intelligence & image processing
Electrical and Electronic Engineering
business
computer
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
ComputingMilieux_MISCELLANEOUS
Digital audio
[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Subjects
Details
- Language :
- English
- ISSN :
- 16874722 and 16874714
- Volume :
- 2012
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- EURASIP Journal on Audio, Speech, and Music Processing
- Accession number :
- edsair.doi.dedup.....8263f9cc1844e935fa91d7cb0849b78a
- Full Text :
- https://doi.org/10.1186/1687-4722-2012-25