DETECTING MP3STEGO EMBEDDED CONTENTS: A STATISTICAL ANALYSIS ON A PARITY STEGANOGRAPHY ALGORITHM

Open Access
Author:
Gregory, Jonah Patterson
Graduate Program:
Information Sciences and Technology
Degree:
Master of Science
Document Type:
Master Thesis
Date of Defense:
March 24, 2009
Committee Members:
  • Chao Hsien Chu, Thesis Advisor
Keywords:
  • steganography
  • mp3
  • mp3stego
  • parity
Abstract:
Steganographic algorithms are designed to hide the existence of communications, and often do so by embedding hidden contents into innocuous covert media. Such forms of communication present a problem to security personnel and others concerned with detecting suspected groups’ communication over the Internet. One tool available to conduct steganographic embedding in MP3 audio files is MP3Stego. In this thesis, we analyze the algorithm that MP3Stego uses, and study how MP3Stego capitalizes on the MP3 encoding algorithm to embed contents. We then dissect the MP3 file, and statistically analyze the lengths of the audio data blocks to test if we can differentiate MP3 files with MP3Stego embedded contents from those that do not. We compare our results to prior research, and find that the results do not agree with prior experimentation on MP3Stego. We then show and conclude that the best statistical predictor to examine when testing for MP3Stego embedded contents is the minimum value of the MP3 files’ block lengths.