
Proceedings Paper
High capacity embedding with indexed data recovery using adjunctive numerical relations in multimedia signal coversFormat | Member Price | Non-Member Price |
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Paper Abstract
We introduce a technique for covertly embedding data throughout an audio file using redundant number system
decomposition across non-standard digital bit-lines. This bit-line implementation integrates an index recoverable
embedded algorithm with an extended bit level representation that achieves a high capacity data channel within an audio
multimedia file. It will be shown this new steganography method has minimal aural distortive affects while preserving
both first and second order cover statistics, making it less susceptible to most steganalysis attacks. Our research
approach involves reviewing the common numerical methods used in common binary-based algorithms. We then
describe basic concepts and challenges when attempting to implement complex embedding algorithms that are based on
redundant number systems. Finally, we introduce a novel class of numerical based multiple bit-line decomposition
systems, which we define as Adjunctive Numerical Representations. The system is primarily described using basic PCM
techniques in uncompressed audio files however extended applications for alternate multimedia is addressed. This new
embedding system will not only provide the statistical stability required for effective steganography but will also give us
an improvement in the embedding capacity in this class of multimedia carrier files. This novelty of our approach is
demonstrated by an ability to embed high capacity covert data while simultaneously providing a means for rapid,
indexed data recovery.
Paper Details
Date Published: 28 May 2013
PDF: 11 pages
Proc. SPIE 8755, Mobile Multimedia/Image Processing, Security, and Applications 2013, 87550L (28 May 2013); doi: 10.1117/12.2015617
Published in SPIE Proceedings Vol. 8755:
Mobile Multimedia/Image Processing, Security, and Applications 2013
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)
PDF: 11 pages
Proc. SPIE 8755, Mobile Multimedia/Image Processing, Security, and Applications 2013, 87550L (28 May 2013); doi: 10.1117/12.2015617
Show Author Affiliations
James C. Collins, The Univ. of Texas at San Antonio (United States)
Sos S. Agaian, The Univ. of Texas at San Antonio (United States)
Published in SPIE Proceedings Vol. 8755:
Mobile Multimedia/Image Processing, Security, and Applications 2013
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)
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