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Proceedings Paper

Fractal steganography using artificially generated images
Author(s): Sos S. Agaian; Johanna M. Susmilch
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Paper Abstract

Steganography is the art of hiding information in a cover image so it is not readily apparent to a third party observer. There exist a variety of fractal steganographic methods for embedding information in an image. The main contribution of the previous work was to embed data by modifying the original, pre-existing image or embedding an encrypted datastream in an image. In this paper we propose a new fractal steganographic method. The fractal parameters of the image are altered by the steganographic data while the image is generated. This results in an image that is generated with the data already hidden in it and not added after the fact. We show that the input parameters of the algorithm, such as the type of fractal and number of iterations, will serve as a simple secret key for extracting the hidden information. We explain how the capacity of the image is affected by the variation of the parameters. We also demonstrate how standard steganographic detection algorithms perform against the generated images and analyze their capability to detect information hidden with this new technique

Paper Details

Date Published: 3 April 2008
PDF: 9 pages
Proc. SPIE 6982, Mobile Multimedia/Image Processing, Security, and Applications 2008, 69820B (3 April 2008); doi: 10.1117/12.777663
Show Author Affiliations
Sos S. Agaian, The Univ. of Texas at San Antonio (United States)
Johanna M. Susmilch, The Univ. of Texas at San Antonio (United States)

Published in SPIE Proceedings Vol. 6982:
Mobile Multimedia/Image Processing, Security, and Applications 2008
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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