Reversed-Mel cepstrum based audio steganalysis

Abstract

Some of the previous audio steganalysis systems have suggested features based on human auditory system models. In contrast, this paper exploits the idea of maximum deviation from human auditory system to suggest an efficient audio steganalysis scheme. Based on this idea, an artificial ear is considered that has high resolution in high frequency region and low resolution where the frequency is low. Simulation results show that this artificial ear can virtually hear effect of steganography and distinguish between stego and clean audio signals. Proposed method achieves accuracy of 93% (StegHide@1.563% BPB) and 97% (Hide4Pgp@6.25% BPB) which are 16% and 12% higher than previous MFCC based methods.