Unitary embedding for data hiding with the SVD

Clifford Bergman; Jennifer Davidson

doi:10.1117/12.587796

21 March 2005 Unitary embedding for data hiding with the SVD

Clifford Bergman, Jennifer Davidson

Proceedings Volume 5681, Security, Steganography, and Watermarking of Multimedia Contents VII; (2005) https://doi.org/10.1117/12.587796
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

Steganography is the study of data hiding for the purpose of covert communication. A secret message is inserted into a cover file so that the very existence of the message is not apparent. Most current steganography algorithms insert data in the spatial or transform domains; common transforms include the discrete cosine transform, the discrete Fourier transform, and discrete wavelet transform. In this paper, we present a data-hiding algorithm that exploits a decomposition representation of the data instead of a frequency-based transformation of the data. The decomposition transform used is the singular value decomposition (SVD). The SVD of a matrix A is a decomposition A= USV' in which S is a nonnegative diagonal matrix and U and V are orthogonal matrices. We show how to use the orthogonal matrices in the SVD as a vessel in which to embed information. Several challenges were presented in order to accomplish this, and we give effective information-hiding using the SVD can be just as effective as using transform-based techniques. Furthermore, different problems arise when using the SVD than using a transform-based technique. We have applied the SVD to image data, but the technique can be formulated for other data types such as audio and video.

Citation Download Citation

Clifford Bergman and Jennifer Davidson "Unitary embedding for data hiding with the SVD", Proc. SPIE 5681, Security, Steganography, and Watermarking of Multimedia Contents VII, (21 March 2005); https://doi.org/10.1117/12.587796

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