DWT Based Blind Watermark in Relational Database

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Abstract:

Aiming to balance the robustness and imperceptibility of database watermark, propose a wavelet transform (DWT) based blind watermarking algorithm. The algorithm screens candidate attributes that can be embedded watermark and conducts subset segmentation and rearrangement, and then performs DWT transformation to the data subsets and the scrambled watermark image respectively. Embed the compressed low-frequency part of the watermark into the High-frequency part of the data set to achieve data fusion. Theoretical analysis and experiments show that the algorithm enjoys strong robustness and good invisibility.

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Periodical:

Advanced Materials Research (Volumes 760-762)

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2123-2128

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Agrawal R, Kiernan J. Watermark relational databases. The 28th VLDB Conference, Hong Kong, China, 2002: 155-156.

DOI: 10.1016/b978-155860869-6/50022-6

Google Scholar

[2] Sion R, Atallah M, Prabhakar S. Watermarking relational databases. Indiana: the Center for Education and Research in Information Assurance and Security of Purdue University, 2002: 36-45.

Google Scholar

[3] Sion R, Atallah M, Prabhakar S. Ownership proofs for categorical data. Proc of the IEEE International Conference on Data Engineering, Boston, 2004: 584-596.

Google Scholar

[4] Sebe F, Domingo Ferrer J, Solanas A. Noise-robust watermarking for numerical datasets. LNAI 3558: Proceeding of the MDAI, 2005: 134-143.

DOI: 10.1007/11526018_14

Google Scholar

[5] Sebe F, Domingo Ferrer J, Castella Roca J. Watermarking numerical data in the presence of noise. International Journal of Uncertainty, Fuzziness and Knowledge Based Systems, 2006, 14(8): 495-508.

DOI: 10.1142/s021848850600414x

Google Scholar

[6] X.M. Niu, L. Zhao, W.J. Huang et al. Watermark Relational Databases for Ownership Protection. Acta Electronica Sinica, 2003, 1(31): 2050-(2053).

Google Scholar

[7] D.Y. Li, H.J. Meng and X. M Shi. Membership Clouds and Membership Cloud Generators. Journal of Computer Research and Development, 1995, 32(6): 15-20.

Google Scholar

[8] Y. Wang, G.M. Zhu and Q.F. Nian. Study and Analysis on Digital Watermark for Relational Database. Journal of Hunan City University(Natural Science Edition), 2008 2.

Google Scholar

[9] R. Wu, J.H. Cao, M. Huang et al. A New Digital Watermark Technology of Relational Database. Wuhan University Journal (Natural Science Edition), 2005 51(5): 590-593.

Google Scholar