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VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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International Journal of Computer Applications in Technology
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AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part II
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ICALP'05 Proceedings of the 32nd international conference on Automata, Languages and Programming
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Information Sciences: an International Journal
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In this paper, we introduce a solution for relational database content rights protection through watermarking. Rights protection for relational data is of ever-increasing interest, especially considering areas where sensitive, valuable content is to be outsourced. A good example is a data mining application, where data is sold in pieces to parties specialized in mining it. Different avenues are available, each with its own advantages and drawbacks. Enforcement by legal means is usually ineffective in preventing theft of copyrighted works, unless augmented by a digital counterpart, for example, watermarking. While being able to handle higher level semantic constraints, such as classification preservation, our solution also addresses important attacks, such as subset selection and random and linear data changes. We introduce wmdb.*, a proof-of-concept implementation and its application to real-life data, namely, in watermarking the outsourced Wal-Mart sales data that we have available at our institute.