Robust Image Hiding in Audio Based on Integer Wavelet Transform and Chaotic Maps Hopping

Audio Steganography is the science of concealing any secret information in an unnoticeable cover audio file so as not to urge an eavesdropper's doubt. The target of this paper is to present a modified robust audio steganography technique that depends on integer lifting wavelet transform and logistic maps random sequence generation. The robustness and security of hiding approach are increased with the encryption of the secret image by dividing it into blocks and the bits of each block are XORed with a different random sequence of logistic maps using hopping technique. The results show that this algorithm has acceptable levels of imperceptibility (indicated by peak signal to noise ratio (PSNR)) and good embedding capacity that can reach up to 25% from the cover audio file size. It also achieves full recovery of hidden data and robustness against attacks.