Wavelet-based steganalysis using a computational immune system approach

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

doi:10.1117/12.502800

23 June 2003 Wavelet-based steganalysis using a computational immune system approach

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

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.

Citation Download Citation

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

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