Image Steganography Resistant Against Higher Order statistical Attacks

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Mohsenzadeh, Yalda | 2009

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 39932 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Ghaemmaghami, Shahrokh; Mohajeri, Javad
Abstract:
A major goal in image steganography is to preserve the statistical properties of the host image to thwart statistical based steganalysis. However, most steganography methods introduce some distortions into the host signal’s statistical properties that have been used, as a certain indication of manipulation of the signal, by steganalysis algorithms. In order to overcome such a methodical vulnerability, a new generation of data hiding algorithms has been proposed in the literature to preserve histogram of the host signal. In this thesis we present a novel image steganographic technique to preserve one-dimensional and two-dimensional histograms of the host image. Experimental results show that the proposed method can preserve the image quality and also resists typical statistical analysis based attacks. The new steganography method solves the distortion problem with the HKC algorithm and hence thwarts the Kuo attack. The method is based on the idea of histogram shift, in which two empty bins are produced in the image histogram that are then filled up using their neighboring bins through the embedding process
Keywords:
Image Watermarking ; Security ; Steganalysis ; Statistical Attacks ; Histogram Shift ; Histogram Attack

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