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Detecting novel steganography with an anomaly-based strategy

Authors :
Gregg H. Gunsch
Gary B. Lamont
Roger L. Claypoole
Jacob T. Jackson
Source :
Journal of Electronic Imaging. 13:860
Publication Year :
2004
Publisher :
SPIE-Intl Soc Optical Eng, 2004.

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.

Details

ISSN :
10179909
Volume :
13
Database :
OpenAIRE
Journal :
Journal of Electronic Imaging
Accession number :
edsair.doi...........18ecbec0c2db921aaac4fa36f3b350fa
Full Text :
https://doi.org/10.1117/1.1789981