Audio Steganalysis Based on Independent Component Analysis

Abstract

Steganalysis is the art and science of detecting messages hidden using steganography. This paper proposes steganalysis of audio signal using Independent Component Analysis. A detection method is used for detecting hidden message in compressed audio files produced by MP3Stego. Steganography can be successfully detected during the Principle Component Analysis (PCA) whitening stage. A nonlinear robust batch ICA algorithm, which is able to efficiently extract various temporally correlated sources from their observed linear mixture are used for blind steganography extraction.