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Proceedings Paper

Steganographic system based on higher-order statistics
Author(s): Roman Tzschoppe; Robert Baeuml; Johannes Huber; Andre Kaup
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Paper Abstract

Universal blind steganalysis attempts to detect steganographic data without knowledge about the applied steganographic system. Farid proposed such a detection algorithm based on higher-order statistics for separating original images from stego images. His method shows an astonishing performance on current steganographic schemes. Starting from the statistical approach in Farid's algorithm, we investigate the well known steganographic tool Jsteg as well as a newer approach proposed by Eggers et al., which relies on histogram-preserving data mapping. Both schemes show weaknesses leading to a certain detectability. Further analysis shows which statistic characteristics make both schemes vulnerable. Based on these results, the histogram preserving approach is enhanced such that it achieves perfect security with respect to Farid's algorithm.

Paper Details

Date Published: 20 June 2003
PDF: 11 pages
Proc. SPIE 5020, Security and Watermarking of Multimedia Contents V, (20 June 2003); doi: 10.1117/12.477301
Show Author Affiliations
Roman Tzschoppe, Friedrich-Alexander-Univ. Erlangen-Nuernberg (Germany)
Robert Baeuml, Friedrich-Alexander-Univ. Erlangen-Nuernberg (Germany)
Johannes Huber, Friedrich-Alexander-Univ. Erlangen-Nuernberg (Germany)
Andre Kaup, Friedrich-Alexander-Univ. Erlangen-Nuernberg (Germany)

Published in SPIE Proceedings Vol. 5020:
Security and Watermarking of Multimedia Contents V
Edward J. Delp; Ping Wah Wong, Editor(s)

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