CRMMOct 22, 2012

Steganalysis of Transcoding Steganography

arXiv:1210.5888v138 citations
Originality Incremental advance
AI Analysis

This addresses steganalysis for a specific VoIP steganography method, offering incremental improvements in detection capabilities for security applications.

The paper tackled the problem of detecting TranSteg, a steganographic method in IP telephony that hides data by compressing voice, by developing a steganalysis method using MFCC parameters and GMMs, achieving efficient detection for some codec pairs like G.711/G.729 while others like iLBC/AMR remained resistant.

TranSteg (Trancoding Steganography) is a fairly new IP telephony steganographic method that functions by compressing overt (voice) data to make space for the steganogram by means of transcoding. It offers high steganographic bandwidth, retains good voice quality and is generally harder to detect than other existing VoIP steganographic methods. In TranSteg, after the steganogram reaches the receiver, the hidden information is extracted and the speech data is practically restored to what was originally sent. This is a huge advantage compared with other existing VoIP steganographic methods, where the hidden data can be extracted and removed but the original data cannot be restored because it was previously erased due to a hidden data insertion process. In this paper we address the issue of steganalysis of TranSteg. Various TranSteg scenarios and possibilities of warden(s) localization are analyzed with regards to the TranSteg detection. A steganalysis method based on MFCC (Mel-Frequency Cepstral Coefficients) parameters and GMMs (Gaussian Mixture Models) was developed and tested for various overt/covert codec pairs in a single warden scenario with double transcoding. The proposed method allowed for efficient detection of some codec pairs (e.g., G.711/G.729), whilst some others remained more resistant to detection (e.g., iLBC/AMR).

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