Highly transparent steganography model of speech signals using Efficient Wavelet Masking

Authors:
Dora M. Ballesteros L;Juan M. Moreno A
Affiliations:
Department of Electronic Engineering, Technical University of Catalunya, Barcelona, Spain and Department of Telecommunications Engineering, University Military Nueva Granada, Bogota, Colombia;Department of Electronic Engineering, Technical University of Catalunya, Barcelona, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 5
Cited 0

Psychoacoustics: Facts and Models

Psychoacoustics: Facts and Models
Steganalysis of Spread Spectrum Hiding Based on DWT and GMM

NSWCTC '09 Proceedings of the 2009 International Conference on Networks Security, Wireless Communications and Trusted Computing - Volume 01
Temporal derivative-based spectrum and mel-cepstrum audio steganalysis

IEEE Transactions on Information Forensics and Security
On Embedding of Text in Audio A Case of Steganography

ITC '10 Proceedings of the 2010 International Conference on Recent Trends in Information, Telecommunication and Computing
Controlled Distortion for High Capacity Data-in-Speech Spectrum Steganography

IIH-MSP '10 Proceedings of the 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing

Quantified Score

Hi-index	12.05

Visualization

Abstract

Steganography is the process of hiding information on a host signal. Transparency is referred to the ability to avoid suspicion about the existence of a secret message. The most popular mechanisms for hiding data in audio signals are the Least Significant Bit (LSB) substitution, Frequency Masking (FM), Spread Spectrum (SS), and Shift Spectrum Algorithm (SSA). In this paper, we adapt the Frequency Masking concept using an efficient sorting of the wavelet coefficients of the secret messages and use an indirect LSB substitution for hiding speech signals into speech signals. The experimental results show that the proposed model, the Efficient Wavelet Masking (EWM) scheme, has a hiding capacity significantly higher than the Spread and Shift Spectrum Algorithms and additionally a statistical transparency higher than all of the above mentioned mechanisms. Moreover, the transparency is not dependent of the host signal chosen because the wavelet sorting guarantees the adaptation of the secret message to the host signal.