Abstract:
The goal of steganalysis is to detect and/or estimate
potentially hidden information from observed data.
Steganalysis not only plays a significant role in
information countermeasures, but also can prevent
the illicit use of steganography. This paper develops
an active steganalysis system for detecting hidden
messages, by estimating frames with hidden message
and message length in compressed audio files
produced by MP3Stego. Principle Component
Analysis (PCA) is applied not only to estimate
uncorrelated components but also help to detect
whether the received MP3 streams are steganography
or original. In this steganalysis system, hidden
messages can be detected in the PCA (whitening)
stage. Independent Component Analysis (ICA)
attempts to separate a set of steganographic signals
from original signals. By analyzing the nature of
MP3 signals (frame header, side information), frame
with secret message can be detected. The results of
empirical tests reach 97% and conclude that
detection accuracy of the proposed steganalysis
system is convenient for MP3Stego embedded
contents. Experiments shows that the proposed
method can be used quite effectively to detect
locations of messages embedded using nature of MP3
signal.
