A novel universal steganalyser design: "LogSv"

Authors:
Gokhan Gu;Fatih Kurugollu
Affiliations:
Faculty of Engineering, University of Kiel, Kiel, Germany;School of Electronics, Electrical Eng. and Computer Science, Queen's University, Belfast, UK
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

Citing 5
Cited 1

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IH '02 Revised Papers from the 5th International Workshop on Information Hiding
Perturbed quantization steganography with wet paper codes

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Image steganalysis with binary similarity measures

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A graph–theoretic approach to steganography

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Steganalysis using high-dimensional features derived from co-occurrence matrix and class-wise non-principal components analysis (CNPCA)

IWDW'06 Proceedings of the 5th international conference on Digital Watermarking

SVD-based universal spatial domain image steganalysis

IEEE Transactions on Information Forensics and Security

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Abstract

This paper introduces a novel universal steganalysis method in order to attack especially spatial domain steganographic algorithms. The basic idea behind the proposed method is twofold: The first is the capability of modeling linear dependencies of image rows/columns in local neighborhoods and the second is the normalization of different energy levels for different images. This idea is simply realized with integrating the logarithms of singular values calculated over image sub blocks resulting to a novel staganalyser, named as "LogSv". We consider three popular spatial domain steganographic algorithms; LSB, Hide4pgp, Steghide, five DCT domain steganographic algorithms; F5, Outguess, JP Hide & Seek, MB1, MB2 and PQ. Performance of the proposed method is compared with the state-of-the-art steganalysers.