Abstract

The science of hiding information behind other cover media file is known steganography. Audio steganography means that a secret message is hidden by embedding it in an audio file. This paper presents a new audio steganography approach that is used the contourlet transform to hide a speech and image in an audio signal. The cover audio signal is modified to be suitable as input to contourlet transform and then secret data embed to the subbands of contourlet transform. The results showed high hiding capacity of data up to 90% of cover audio file size. In addition, performance analysis by measures factors: Normalized Correlation (NC), Signal to Noise Ratio (SNR) and Peak Signal to Noise Ratio (PSNR) appears good quality results for both stego and secret data.

Highlights

  • Data hiding is one of the emerging techniques that provide safety of data transferring by concealing secret information into the multimedia contents such as images or audio after modifying some components in those host files.Audio steganography is one of the familiar data hiding techniques that embeds existence secret information in audio signals

  • Some signal quality measures are utilized such as Normalized Correlation (NC) [20], Signal to Noise Ratio (SNR) [10], and Peak Signal to Noise Ratio (PSNR) [10], to illustrate and discuss the results for the proposed scheme

  • Very high NC and good SNR for stego audio illustrate that the secret message is imperceptible from the stego signal

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Summary

INTRODUCTION

Data hiding is one of the emerging techniques that provide safety of data transferring by concealing secret information into the multimedia contents such as images or audio after modifying some components in those host files. Audio steganography is one of the familiar data hiding techniques that embeds existence secret information in audio signals. 1- Least Significant Bit (LSB): The least significant bit of each sample in the cover audio is replaced by a bit of the secret data Even though this is a simple method, an attacker can extract the secret message and destroy [1,6]. A new audio steganography method based on contourlet transform is proposed in this paper. In this method, contourlet transform will apply first on cover audio file and secret data will be hidden in proper subband contourlet coefficients.

LITERATURE REVIEW
CONTOURLET TRANSFORM
PROPOSED SCHEME
EXPERIMENTAL RESULTS
CONCLUSION
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