Steganographic system based on higher-order statistics

Roman Tzschoppe; Robert Baeuml; Johannes Huber; Andre Kaup

doi:10.1117/12.477301

20 June 2003 Steganographic system based on higher-order statistics

Roman Tzschoppe, Robert Baeuml, Johannes Huber, Andre Kaup

Proceedings Volume 5020, Security and Watermarking of Multimedia Contents V; (2003) https://doi.org/10.1117/12.477301
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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.

Citation Download Citation

Roman Tzschoppe, Robert Baeuml, Johannes Huber, and Andre Kaup "Steganographic system based on higher-order statistics", Proc. SPIE 5020, Security and Watermarking of Multimedia Contents V, (20 June 2003); https://doi.org/10.1117/12.477301

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