Proceedings of the Sixth International Conference on Data Engineering
Watermarking relational data: framework, algorithms and analysis
The VLDB Journal — The International Journal on Very Large Data Bases
Rights Protection for Relational Data
IEEE Transactions on Knowledge and Data Engineering
Watermarking relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Digital watermarking for relational databases using traceability parameter
International Journal of Computer Applications in Technology
A new watermarking approach for relational data
Proceedings of the 46th Annual Southeast Regional Conference on XX
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We propose a new watermarking algorithm for relational database which is based on spread spectrum techniques in this paper. We assign different owners for different identification key to generate the special watermarking signal and insert it into appropriate tuples. At the watermarking detection step, we use the technique of even parity check and majority voting for the watermark accuracy. It is to establish that a false positive judgment is highly unlikely by evaluating the similarity of watermarks between the original and the one gotten from the detection step. Experimental results are also presented to support that it is robust in the present of the various attacks and positive updating such as adding, deleting and modifying.