Paper
2 May 2006 Multiple masks based pixel comparison steganalysis method for mobile imaging
Author Affiliations +
Abstract
Steganalysis has many challenges; which include the accurate and efficient detection of hidden content within digital images. This paper focuses on the development of a new multi pixel comparison method used for the detection of steganographic content within digital images transmitted over mobile channels. The sensitivity of detecting hidden information within a digital image can be increased or decreased to determine if slight changes have been made to the digital image for the target of blind steganalysis. The key thought of the presented method is to increase the sensitivity of features when alterations are made within the bit planes of a digital image. The differences between the new method and existing pixel comparison methods are; multiple masks of different sizes are used to increase the sensitivity and weighted features are used to improve the classification of the feature sets. Weights are also used with the various pixel comparisons to ensure proper sensitivity when detecting small changes. The article also investigates the reliability of detection and estimation length of hidden data within wireless digital images with potential for military applications emphasizing on defense and security.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sos S. Agaian, Gilbert L. Peterson, and Benjamin M. Rodriguez "Multiple masks based pixel comparison steganalysis method for mobile imaging", Proc. SPIE 6250, Mobile Multimedia/Image Processing for Military and Security Applications, 625005 (2 May 2006); https://doi.org/10.1117/12.666385
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Steganalysis

Steganography

Image classification

Data hiding

Feature extraction

Remote sensing

Statistical analysis

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