Steganographic System Based on Higher-Order Statistics

Tzschoppe R, Bäuml R, Huber J, Kaup A (2003)

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2003

Publisher: SPIE

Book Volume: 5020

Pages Range: 156-166

Event location: Santa Clara, CA US

DOI: 10.1117/12.477301

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.

Authors with CRIS profile

Johannes Huber Lehrstuhl für Informationsübertragung Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Tzschoppe, R., Bäuml, R., Huber, J., & Kaup, A. (2003). Steganographic System Based on Higher-Order Statistics. In Delp III E.J.; Wah Wong P. (Eds.), Proceedings of the Security and Watermarking of Multimedia Contents V (pp. 156-166). Santa Clara, CA, US: SPIE.

MLA:

Tzschoppe, Roman, et al. "Steganographic System Based on Higher-Order Statistics." Proceedings of the Security and Watermarking of Multimedia Contents V, Santa Clara, CA Ed. Delp III E.J.; Wah Wong P., SPIE, 2003. 156-166.

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