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A High Capacity Data and Image Hiding Technique in Stereo Audio Signals Using Chaotic Maps and Wavelet Transforms

EasyChair Preprint no. 6099

8 pagesDate: July 17, 2021

Abstract

Information security domain has witnessed a great development in recent years to meet the rapid growth in multimedia communication technology. Audio Steganography is one of the challenging security techniques which refers to the art of hiding information into a cover audio signal. Stereo audio signals are very tempting for this goal as they provide double the capacity of data hiding as compared to mono audio signals. This paper introduces a novel high capacity and secure image hiding technique in stereo audio signals using chaotic maps and wavelet transforms.  Two different types of wavelet transform, namely, the Discrete Wavelet Transform (DWT) and the Integer Wavelet Transform (IWT) are considered as the data embedding technique. The embedding of secret data (or image) is in two sub-bands of stereo audio signals to increase the hiding capacity without affecting the integrity of the cover sound. Hénon map is one of the simplest two-dimensional maps with chaotic behaviour. Its use is proposed to provide a strong, though simple, and highly secure data encryption as well as adaptive embedding through pixel positions permutation. The experimental results show that using the IWT allows lossless reconstruction of the hidden data with less complexity and minimal time. On the other hand, using the DWT gives higher peak signal-to-noise ratio (PSNR) of the stego-audio file which leads to a better quality of the cover audio signals.

Keyphrases: Chaotic Maps., Cryptography, Stereo Audio Steganography, threshold, wavelet transform

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:6099,
  author = {Marwa H. El-Sherif and Said E. El-Khamy and Noha O. Korany},
  title = {A High Capacity Data and Image Hiding Technique in Stereo Audio Signals Using Chaotic Maps and Wavelet Transforms},
  howpublished = {EasyChair Preprint no. 6099},

  year = {EasyChair, 2021}}
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