DocumentCode
69017
Title
A Robust, Distortion Minimizing Technique for Watermarking Relational Databases Using Once-for-All Usability Constraints
Author
Kamran, Muhammad ; Suhail, Sabah ; Farooq, M.
Author_Institution
Next Generation Intell. Networks Res. Center (nexGIN RC), COMSATS Inst. of Inf. Technol., Wah Cantt, Pakistan
Volume
25
Issue
12
fYear
2013
fDate
Dec. 2013
Firstpage
2694
Lastpage
2707
Abstract
Ownership protection on relational databases--shared with collaborators (or intended recipients)-demands developing a watermarking scheme that must be able to meet four challenges: 1) it should be robust against different types of attacks that an intruder could launch to corrupt the embedded watermark; 2) it should be able to preserve the knowledge in the databases to make them an effective component of knowledge-aware decision support systems; 3) it should try to strike a balance between the conflicting requirements of database owners, who require soft usability constraints, and database recipients who want tight usability constraints that ensure minimum distortions in the data; and 4) last but not least, it should not require that a database owner defines usability constraints for each type of application and every recipient separately. The major contribution of this paper is a robust and efficient watermarking scheme for relational databases that is able to meet all above-mentioned four challenges. The results of our experiments prove that the proposed scheme achieves 100 percent decoding accuracy even if only one watermarked row is left in the database.
Keywords
decision support systems; relational databases; watermarking; distortion minimizing technique; knowledge-aware decision support systems; once-for-all usability constraints; ownership protection; relational database watermarking; robust technique; Copyright protection; Data models; Distortion; Watermarking; Data usability constraints; data quality; database watermarking; distortion free; ownership protection; right protection; robust watermarking;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/TKDE.2012.227
Filename
6648587
Link To Document