多変量因果関係分析における冗長度の低減

国立大学法人長岡技術科学大

Audio Steganalysis Based on Independent Component Analysis

Steganalysis is the art and science ofdetecting messages hidden using steganography.This paper proposes steganalysis of audio signalusing Independent Component Analysis. Adetection method is used for detecting hiddenmessage in compressed audio files produced byMP3Stego. Steganography can be successfullydetected during the Principle ComponentAnalysis (PCA) whitening stage. A nonlinearrobust batch ICA algorithm, which is able toefficiently extract various temporally correlatedsources from their observed linear mixture areused for blind steganography extraction

Source Separation of Steganography Mixed Audio Signal

The research on blind source separation isfocus in the community of signal processing andhas been developed in recent years. This paperproposes enhance audio steganalysis technique,which adopts Independent Component Analysis(ICA) for steganography detection andextraction process. Steganography can besuccessfully detected during the PrincipleComponent Analysis (PCA) whitening stage. Anonlinear ICA algorithm, which is able toefficiently extract various temporally correlatedsources from their observed linear mixtures, isused for blind steganography extraction

Active Steganalysis of MP3Stego

The goal of steganalysis is to detect and/or estimatepotentially hidden information from observed data.Steganalysis not only plays a significant role ininformation countermeasures, but also can preventthe illicit use of steganography. This paper developsan active steganalysis system for detecting hiddenmessages, by estimating frames with hidden messageand message length in compressed audio filesproduced by MP3Stego. Principle ComponentAnalysis (PCA) is applied not only to estimateuncorrelated components but also help to detectwhether the received MP3 streams are steganographyor original. In this steganalysis system, hiddenmessages can be detected in the PCA (whitening)stage. Independent Component Analysis (ICA)attempts to separate a set of steganographic signalsfrom original signals. By analyzing the nature ofMP3 signals (frame header, side information), framewith secret message can be detected. The results ofempirical tests reach 97% and conclude thatdetection accuracy of the proposed steganalysissystem is convenient for MP3Stego embeddedcontents. Experiments shows that the proposedmethod can be used quite effectively to detectlocations of messages embedded using nature of MP3signal