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Proceedings Paper

Compression-based steganalysis of LSB embedded images
Author(s): Charles Boncelet; Lisa Marvel; Adrienne Raglin
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Paper Abstract

We present a new method of steganalysis, the detection of hidden messages, for least significant bits (LSB) replacement embedding. The method uses lossless image compression algorithms to model images bitplane by bitplane. The basic premise is that messages hidden by replacing LSBs of image pixels do not possess the same statistical properties and are therefore likely to be incompressible by compressors designed for images. In fact, the hidden data are usually compressed files themselves that may or may not be encrypted. In either case, the hidden messages are incompressible. In this work, we study three image compressors, one a standard and two we developed. The results are that many images can be eliminated as having possible steganographic content since the LSBs compress more than a hidden message typically would.

Paper Details

Date Published: 15 February 2006
PDF: 10 pages
Proc. SPIE 6072, Security, Steganography, and Watermarking of Multimedia Contents VIII, 607207 (15 February 2006); doi: 10.1117/12.657412
Show Author Affiliations
Charles Boncelet, Univ. of Delaware (United States)
Lisa Marvel, U.S. Army Research Lab. (United States)
Adrienne Raglin, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 6072:
Security, Steganography, and Watermarking of Multimedia Contents VIII
Edward J. Delp III; Ping Wah Wong, Editor(s)

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