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Proceedings Paper

Wavelet-based steganalysis using a computational immune system approach
Author(s): Jacob T. Jackson; Gregg H. Gunsch; Roger L. Claypoole; Gary B. Lamont
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Paper Abstract

Current signature-based approaches for detecting the presence of hidden messages in digital files - the initial step in steganalysis - rely on discerning "footprints" of steganographic tools. Of greater recent concern is detecting the use of novel proprietary or "home-grown" tools for which no signature has been established. This research focuses on detecting anomalies in seemingly innocuous images, applying a genetic algorithm within a computational immune system to leverage powerful image processing through wavelet analysis. The sensors developed with this new, synergistic system demonstrated a surprising level of capability to detect the use of steganographic tools for which the system had no previous exposure.

Paper Details

Date Published: 23 June 2003
PDF: 11 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502800
Show Author Affiliations
Jacob T. Jackson, Air Force Institute of Technology (United States)
Gregg H. Gunsch, Air Force Institute of Technology (United States)
Roger L. Claypoole, Air Force Institute of Technology (United States)
Gary B. Lamont, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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