DocumentCode
2482904
Title
A new approach for relational database watermarking using image
Author
Sardroudi, Hossein Moradian ; Ibrahim, Subariah
Author_Institution
Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai, Malaysia
fYear
2010
fDate
Nov. 30 2010-Dec. 2 2010
Firstpage
606
Lastpage
610
Abstract
Proving ownership rights on outsourced databases is a vital issue. This paper proposed an improved algorithm for database watermarking. In the experiment, we embed an image watermark into numerical attributes in a relational database. It refers to image elements as 2-dimension matrix elements and tries to embed medium size image in small scale relation. By applying this method we can obtain upper Correction Factor for image. Furthermore at the phase of embedding watermark, this algorithm is capable of minimizing data variation method which assures the minimum modification to original database without decreasing imperceptibility. In extracting process majority voting method is employed to get retrieve the correct watermark. To improve this process, recovering step is added to the extracting process. This step tries to recover extracted image and guess missing elements value, so the watermark can be detected even in a small subset of a watermarked database. Detecting the watermark neither requires the original database nor the watermark.
Keywords
relational databases; watermarking; 2-dimension matrix elements; data variation method; image watermark; process majority voting method; relational database watermarking; Multimedia communication; Multimedia databases; Pixel; Relational databases; Sun; Watermarking; copyright protection; database watermarking; digital right management; embedding image;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Sciences and Convergence Information Technology (ICCIT), 2010 5th International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-8567-3
Electronic_ISBN
978-89-88678-30-5
Type
conf
DOI
10.1109/ICCIT.2010.5711126
Filename
5711126
Link To Document