Analysis of wavelet families on Audio steganography using AES
Tabinda Mirza, Vijaya Ahire · 2014
With the growing trends in wireless network in this modern era, more and more multimedia data are generated and transmitted. So the effective ways to ensure their security are increased. This can be achieved by implementing steganography techniques. Audio steganography is more challenging compared to image or video steganography. There are number of audio steganography methods. In this paper we focus on different wavelet families for embedding secret message in audio file. The advantage of wavelet is due to its reconstruction property and its capacity of capturing the low frequency component. The wavelet families which are taken for the analysis for audio stegnography are daubechies, symlet, coiflet, biorthogonal, stationary and dmer. In addition to this secured data transfer between two parties is achieved by combining steganography with cryptography. In the proposed system first the sender encrypts the secret message by AES algorithm and secondly encrypted secret message is embedded using Wavelet families. Then the receiver performs the reverse process to get the original secret message. Here we review current and novel wavelet audio steganographic techniques and evaluate their performance based on PSNR, MSE and Entropy. This method also results in increased robustness against noise addition, random cropping and deletion of samples. In addition, listening tests showed that stego audio and original audio are imperceptible to each other.