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Journal of Electronic Imaging

Detecting novel steganography with an anomaly-based strategy
Author(s): Jacob T. Jackson; Gregg H. Gunsch; Roger L. Claypoole; Gary B. Lamont
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Paper Abstract

Popular press and congressional record report a belief by the intelligence community that Al Qaeda members communicate through messages embedded invisibly in images shared via the Internet. This is certainly plausible as steganography has a rich history of military and civilian use. Current signature-based approaches for detecting the presence of hidden messages rely on discerning "footprints" of steganographic tools. Of greater recent concern is detecting the use of novel tools for which no signature has been established. This research addresses this concern by using a method for 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 system demonstrated a surprising level of capability to detect the use of steganographic tools for which the system had no previous exposure, including one tool designed to be statistically stealthy.

Paper Details

Date Published: 1 October 2004
PDF: 11 pages
J. Electron. Imag. 13(4) doi: 10.1117/1.1789981
Published in: Journal of Electronic Imaging Volume 13, Issue 4
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)

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