Statistical Attack Resilient Data Hiding

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Statistical Attack Resilient Data Hiding
In this paper, we propose a discrete cosine transform (DCT) based spread spectrum data-hiding algorithm that is resilient to statistical attacks. Unlike other spread spectrum based data-hiding algorithms, the proposed algorithm does not introduce a low-pass filtering effect in the histogram of the stego image. The distance between the center of gravity (CoG) as defined by [14] of the unmarked host and the stego images was reduced by 74% in the proposed algorithm. The proposed algorithm is also resilient against the Chi-Square attack and does not compromise on robustness or capacity to achieve this goal. When compared to the generic block based DCT data-hiding scheme, the proposed algorithm provides a 41% reduction in the relative entropy between the host and stego images. In other words, the proposed algorithm is 41% more secure than generic DCT based data-hiding algorithms when measured in terms of relative entropy. The proposed algorithm also provides statistical resilience again...
Palak K. Amin, Ning Liu, Koduvayur P. Subbalakshmi
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Authors Palak K. Amin, Ning Liu, Koduvayur P. Subbalakshmi
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