Detecting novel steganography with an anomaly-based strategy

Jacob T. Jackson; Gregg H. Gunsch; Roger L. Claypoole Jr.; Gary B. Lamont

doi:10.1117/1.1789981

1 October 2004 Detecting novel steganography with an anomaly-based strategy

Jacob T. Jackson, Gregg H. Gunsch, Roger L. Claypoole Jr., Gary B. Lamont

Author Affiliations +

Journal of Electronic Imaging, Vol. 13, Issue 4, (October 2004). https://doi.org/10.1117/1.1789981

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.

©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Jacob T. Jackson, Gregg H. Gunsch, Roger L. Claypoole Jr., and Gary B. Lamont "Detecting novel steganography with an anomaly-based strategy," Journal of Electronic Imaging 13(4), (1 October 2004). https://doi.org/10.1117/1.1789981

Published: 1 October 2004

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