23 June 2003 Wavelet-based steganalysis using a computational immune system approach
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Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.502800
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland
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.
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Jacob T. Jackson, Jacob T. Jackson, Gregg H. Gunsch, Gregg H. Gunsch, Roger L. Claypoole, Roger L. Claypoole, Gary B. Lamont, Gary B. Lamont, } "Wavelet-based steganalysis using a computational immune system approach", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502800; https://doi.org/10.1117/12.502800
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